This image shows Carsten W.  Scherer

Carsten W. Scherer

Professor Dr.

Head of Institute and Chairholder mst / Erasmus-Coordinator Dep. of Mathematics
Dep. of Mathematics/ IMNG
Mathematical Systems Theory
[Photo: Uni Stuttgart]

Contact

+49 711 685 60025
+49 711 685 60028

Website

Pfaffenwaldring 5a
70569 Stuttgart
Deutschland
Room: PWR 5a, R2.009

Office Hours

On appointment

Subject

Linear matrix inequalities in control

Exploring the applicability of linear matrix inequalities in analysis and synthesis problems in control.

Robust control

Analysis and synthesis techniques for linear, linear parametrically varying and nonlinear systems.

Multiobjective control

Control problems with multiple objectives formulated in the frequency- and time-domain.

Semi-definite programming and convex optimization

Robust optimization and relaxations of non-convex optimization problems.

Applications

Mechatronics and flight-control.

  1. 2024

    1. T. J. Meijer, T. Holicki, S. J. A. M. van den Eijnden, C. W. Scherer, and W. P. M. H. Heemels, The Non-Strict Projection Lemma, IEEE Transactions on Automatic Control, pp. 1–8, 2024.
    2. A. Kharitenko and C. W. Scherer, On the exactness of a stability test for Lur’e systems with slope-restricted nonlinearities, IEEE Transactions on Automatic Control, 2024.
    3. H. Häring, D. Gramlich, C. Ebenbauer, and C. W. Scherer, Trajectory Generation for the Unicycle Model Using Semidefinite Relaxations, in accepted for publication, 2024.
  2. 2023

    1. F. A. Taha, S. Yan, and E. Bitar, A Distributionally Robust Approach to Regret Optimal Control using the Wasserstein Distance, in 2023 62nd IEEE Conference on Decision and Control (CDC), 2023, pp. 2768–2775.
    2. C. W. Scherer, C. Ebenbauer, and T. Holicki, Optimization Algorithm Synthesis Based on Integral Quadratic Constraints: A Tutorial, in 2023 62nd IEEE Conference on Decision and Control (CDC), 2023, pp. 2995–3002.
    3. C. W. Scherer, Robust Exponential Stability and Invariance Guarantees with General Dynamic O’Shea-Zames-Falb Multipliers, Jun. 2023.
    4. C. A. Rösinger and C. W. Scherer, Gain-Scheduling Controller Synthesis for Nested Systems With Full Block Scalings, IEEE Transactions on Automatic Control, pp. 1–16, 2023.
    5. M. M. Morato, T. Holicki, and C. W. Scherer, Stabilizing Model Predictive Control Synthesis using Integral Quadratic Constraints and Full-Block Multipliers, International journal of robust and nonlinear control, vol. 33, no. 18, pp. 11434–11457, 2023.
    6. T. J. Meijer, T. Holicki, S. J. A. M. van den Eijnden, C. W. Scherer, and W. P. M. H. Heemels, The Non-Strict Projection Lemma. 2023.
    7. A. Kharitenko and C. Scherer, Time-varying Zames–Falb multipliers for LTI Systems are superfluous, Automatica, vol. 147, 2023.
    8. T. Holicki and C. W. Scherer, IQC Based Analysis and Estimator Design for Discrete-Time Systems Affected by Impulsive Uncertainties. 2023.
    9. T. Holicki and C. W. Scherer, Input-Output-Data-Enhanced Robust Analysis via Lifting. 2023.
    10. T. Holicki and C. W. Scherer, Data-Based Refinement of Parametric Uncertainty Descriptions, submitted for publication, 2023.
    11. T. Holicki, J. Nicodemus, P. Schwerdtner, and B. Unger, Energy matching in reduced passive and port-Hamiltonian systems. 2023.
    12. L. Hewing et al., Enhancing the Guidance, Navigation and Control of Autonomous Parafoils using Machine Learning Methods, in Papers of ESA GNC-ICATT 2023, 2023.
    13. D. Gramlich, C. W. Scherer, H. Häring, and C. Ebenbauer, Synthesis of constrained robust feedback policies and model predictive control, 2023.
    14. D. Gramlich, P. Pauli, C. W. Scherer, F. Allgöwer, and C. Ebenbauer, Convolutional Neural Networks as 2-D systems, Mar. 2023.
    15. D. Gramlich, T. Holicki, C. W. Scherer, and C. Ebenbauer, A Structure Exploiting SDP Solver for Robust Controller Synthesis, IEEE Control Systems Letters, vol. 7, pp. 1831--1836, 2023.
    16. J. Berberich, C. W. Scherer, and F. Allgower, Combining Prior Knowledge and Data for Robust Controller Design, IEEE Transactions on Automatic Control, vol. 68, no. 8, pp. 4618–4633, 2023.
  3. 2022

    1. C. W. Scherer, Dissipativity, Convexity and Tight O\textquotesingleShea-Zames-Falb Multipliers for Safety Guarantees, IFAC-PapersOnLine, vol. 55, no. 30, pp. 150--155, 2022.
    2. C. Scherer, Dissipativity and Integral Quadratic Constraints, Tailored computational robustness tests for complex interconnections, IEEE Control Systems Magazine, vol. 42, no. 3, pp. 115–139, 2022.
    3. C. A. Rösinger and C. W. Scherer, Gain-Scheduling Controller Synthesis for Networked Systems with Full Block Scalings, 2022.
    4. C. A. Rösinger and C. W. Scherer, Gain-Scheduling Controller Synthesis for Networked Systems with Full Block Scalings, arXiv, 2022.
    5. A. Kharitenko, Some contributions to the theory of stability multipliers, 2022.
    6. T. Holicki and C. W. Scherer, Input-Output-Data-Enhanced Robust Analysis via Lifting, Nov. 2022.
    7. T. Holicki and C. W. Scherer, IQC Based Analysis and Estimator Design for Discrete-Time Systems Affected by Impulsive Uncertainties, Dec. 2022.
    8. T. Holicki and C. W. Scherer, A Dynamic S-Procedure for Dynamic Uncertainties, in IFAC-PapersOnline, 2022, vol. 55, no. 25, pp. 103–108.
    9. T. Holicki, A Complete Analysis and Design Framework for Linear Impulsive and Related Hybrid Systems, University of Stuttgart, 2022.
    10. D. Gramlich, C. W. Scherer, and C. Ebenbauer, Robust Differential Dynamic Programming, in 61st IEEE Conf. Decision and Control, 2022.
    11. D. Gramlich, C. Ebenbauer, and C. W. Scherer, Synthesis of Accelerated Gradient Algorithms for Optimization and Saddle Point Problems using Lyapunov functions, Syst. Control Lett., vol. 165, 2022.
    12. C. Fiedler, C. W. Scherer, and S. Trimpe, Learning Functions and Uncertainty Sets Using Geometrically Constrained Kernel Regression, in 61st IEEE Conf. Decision and Control, 2022, pp. 2141–2146.
    13. J. Berberich, C. W. Scherer, and F. Allgower, Combining Prior Knowledge and Data for Robust Controller Design, IEEE Transactions on Automatic Control, vol. 68, no. 8, pp. 4618–4633, 2022.
  4. 2021

    1. J. Veenman, C. W. Scherer, C. Ardura, S. Bennani, V. Preda, and B. Girouart, IQClab: A new IQC based toolbox for robustness analysis and control design, in IFAC-PapersOnline, 2021, vol. 54, no. 8, pp. 69--74.
    2. C. Scherer and C. Ebenbauer, Convex Synthesis of Accelerated Gradient Algorithms, SIAM Journal on Control and Optimization, vol. 59, no. 6, pp. 4615–4645, 2021.
    3. S. Michalowsky, C. Scherer, and C. Ebenbauer, Robust and structure exploiting optimisation algorithms: An integral quadratic constraint approach, International Journal of Control, vol. 94, no. 11, pp. 2956–2979, 2021.
    4. T. Holicki and C. W. Scherer, Revisiting and Generalizing the Dual Iteration for Static and Robust Output-Feedback Synthesis, Int. J. Robust Nonlin., pp. 1–33, 2021.
    5. T. Holicki and C. W. Scherer, Algorithm Design and Extremum Control:Convex Synthesis due to Plant Multiplier Commutation, in 60th IEEE Conf. Decision and Control (to appear), 2021.
    6. T. Holicki, C. W. Scherer, and S. Trimpe, Controller Design via Experimental Exploration with Robustness Guarantees, IEEE Control Syst. Lett., vol. 5, no. 2, pp. 641–646, 2021.
    7. T. Holicki and C. W. Scherer, Robust Gain-Scheduled Estimation with Dynamic D-Scalings, IEEE Trans. Autom. Control, 2021.
    8. C. Fiedler, C. W. Scherer, and S. Trimpe, Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees, in 60th IEEE Conf. Decision and Control (to appear), 2021.
    9. C. Fiedler, C. W. Scherer, and S. Trimpe, Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression, in Proceedings of the AAAI Conference on Artificial Intelligence, 2021, vol. 35, no. 8, pp. 7439–7447.
  5. 2020

    1. C. A. Rösinger and C. W. Scherer, A Flexible Synthesis Framework of Structured Controllers for Networked Systems, IEEE Transactions on Control of Network Systems, vol. 7, no. 1, pp. 6–18, 2020.
    2. C. A. Rösinger and C. W. Scherer, Lifting to Passivity for $H_2$-Gain-Scheduling Synthesis with Full Block Scalings, IFAC-PapersOnLine, vol. 53, no. 2, pp. 7292–7298, 2020.
    3. S. Michalowsky, C. Scherer, and C. Ebenbauer, Robust and structure exploiting optimisation algorithms: An integral quadratic constraint approach, International Journal of Control, vol. 2020, pp. 1–24, 2020.
    4. T. Holicki and C. W. Scherer, Output-Feedback Synthesis for a Class of Aperiodic Impulsive Systems, in IFAC-PapersOnline, 2020, vol. 53, no. 2, pp. 7299–7304.
    5. J. Berberich, C. W. Scherer, and F. Allgöwer, Combining Prior Knowledge and Data for Robust Controller Design, 2020.
    6. J. Berberich, A. Koch, C. W. Scherer, and F. Allgöwer, Robust data-driven state-feedback design, in 2020 American Control Conference (ACC), 2020, pp. 1532–1538.
    7. M. Barreau, C. W. Scherer, F. Gouaisbaut, and A. Seuret, Integral Quadratic Constraints on Linear Infinite-dimensional Systems for Robust Stability Analysis, in IFAC-PapersOnline, 2020, vol. 53, no. 2, pp. 7752–7757.
  6. 2019

    1. C. A. Rösinger and C. W. Scherer, A Scalings Approach to $H_2$-Gain-Scheduling Synthesis without Elimination, IFAC-PapersOnLine, vol. 52, no. 28, pp. 50–57, 2019.
    2. T. Holicki and C. W. Scherer, A Homotopy Approach for Robust Output-Feedback Synthesis, in Proc. 27th. Med. Conf. Control Autom., 2019, pp. 87–93.
    3. T. Holicki and C. W. Scherer, Stability analysis and output-feedback synthesis of hybrid systems affected by piecewise constant parameters via dynamic resetting scalings, Nonlinear Analysis: Hybrid Systems, vol. 34, pp. 179--208, 2019.
    4. G. Baggio, S. Zampieri, and C. W. Scherer, Gramian Optimization with Input-Power Constraints, in 58th IEEE Conf. Decision and Control, 2019, pp. 5686–5691.
  7. 2018

    1. C. W. Scherer and T. Holicki, An IQC theorem for relations: Towards stability analysis of data-integrated systems, in IFAC-PapersOnLine, 2018, vol. 51, no. 25, pp. 390–395.
    2. C. W. Scherer and J. Veenman, Stability analysis by dynamic dissipation inequalities: On merging frequency-domain techniques with time-domain conditions, Syst. Control Lett., vol. 121, pp. 7–15, 2018.
    3. T. Holicki and C. W. Scherer, Output-Feedback Gain-Scheduling Synthesis for a Class of Switched Systems via Dynamic Resetting $D$-Scalings, in 57th IEEE Conf. Decision and Control, 2018, pp. 6440–6445.
    4. T. Holicki and C. W. Scherer, A Swapping Lemma for Switched Systems, in IFAC-PapersOnLine, 2018, vol. 51, no. 25, pp. 346–352.
    5. S. Haesaert, S. Weiland, and C. W. Scherer, A separation theorem for guaranteed $H_2$ performance through matrix inequalities, Automatica, vol. 96, pp. 306–313, 2018.
    6. Y. Guo and C. W. Scherer, Robust Gain-Scheduled Controller Design with a Hierarchical Structure, in IFAC-PapersOnline, 2018, vol. 51, no. 25, pp. 228–233.
  8. 2017

    1. C. A. Rösinger and C. W. Scherer, Structured Controller Design With Applications to Networked Systems, in Proc. 56th IEEE Conf. Decision and Control, 2017, pp. 4771–4776.
    2. M. Fetzer, From classical absolute stability tests towards a comprehensive robustness analysis, Dissertation, University of Stuttgart, Stuttgart, 2017.
    3. M. Fetzer, C. W. Scherer, and J. Veenman, Invariance with dynamic multipliers, IEEE Trans. Autom. Control, vol. 63, no. 7, pp. 1929–1942, 2017.
    4. M. Fetzer and C. W. Scherer, Full-block multipliers for repeated, slope restricted scalar nonlinearities, Int. J. Robust Nonlin., 2017.
    5. M. Fetzer and C. W. Scherer, Absolute stability analysis of discrete time feedback interconnections, in IFAC-PapersOnline, 2017, vol. 50, no. 1, pp. 8447–8453.
    6. M. Fetzer and C. W. Scherer, Zames-Falb Multipliers for Invariance, IEEE Control Syst. Lett., vol. 1, no. 2, pp. 412–417, 2017.
  9. 2016

    1. J. Veenman, C. W. Scherer, and H. Köroglu, Robust stability and performance analysis with integral quadratic constraints, Eur. J. Control, vol. 31, pp. 1–32, 2016.
    2. J. Veenman, M. Lahr, and C. W. Scherer, Robust controller synthesis with unstable weights, in 55th IEEE Conf. Decision and Control, 2016, pp. 2390–2395.
    3. E. J. Trottemant, C. W. Scherer, and M. Mazo, Optimality of robust disturbance-feedback strategies, Int. J. Robust Nonlin., vol. 26, no. 7, pp. 1475–1488, 2016.
    4. E. J. Trottemant, M. Mazo, and C. W. Scherer, Synthesis of Robust Piecewise Affine Output-Feedback Strategies, J. Guid. Control Dynam., vol. 39, no. 7, pp. 1461–1469, 2016.
    5. C. W. Scherer, Lossless $H_ınfty$-synthesis for 2D systems (special issue JCW), Syst. Control Lett., vol. 95, pp. 25–35, 2016.
    6. H. Nguyen Tien, C. W. Scherer, J. M. A. Scherpen, and V. Müller, Linear Parameter Varying Control of Doubly Fed Induction Machines, IEEE Trans. Ind. Electron., vol. 63, no. 1, pp. 216–224, 2016.
    7. T. Holicki and C. W. Scherer, Controller Synthesis for Distributed Systems over Undirected Graphs, in 55th IEEE Conf. Decision and Control, 2016, pp. 5238–5244.
    8. M. Fetzer and C. W. Scherer, Stability and Performance Analysis on Sobolev Spaces, in 55th IEEE Conf. Decision and Control, 2016, pp. 7264–7269.
    9. M. Fetzer and C. W. Scherer, A General Integral Quadratic Constraints Theorem with Applications to a Class of Sampled-Data Systems., SIAM J. Contr. Optim., vol. 54, no. 3, pp. 1105–1125, 2016.
    10. L. Allerhand, E. Gershon., and U. Shaked, Robust state-feedback control of stochastic state-multiplicative discrete-time linear switched systems with dwell time, Int. J. Robust Nonlin., vol. 26, no. 2, pp. 187–200, 2016.
  10. 2015

    1. J. Veenman, A general framework for robust analysis and control: an integral quadratic constraint based approach, Dissertation, Logos Verlag, Berlin, 2015.
    2. C. W. Scherer, Gain-scheduling control with dynamic multipliers by convex optimization, SIAM J. Contr. Optim., vol. 53, no. 3, pp. 1224–1249, 2015.
    3. J. Missler, D. Schwarzmann, and L. I. Allerhand, On the Influence of Filter Choice in Output-Feedback MRAC during Adaptation Transients, in IFAC-PapersOnline, 2015, vol. 48, no. 11, pp. 505–510.
    4. H. Köroglu, C. W. Scherer, and P. Falcone, Robust Static Output Feedback Synthesis under an Integral Quadratic Constraint on the States, in Eur. Control Conf., 2015, pp. 3203–3208.
    5. E. Gershon, U. Shaked, and L. I. Allerhand, Stochastic Linear Systems: Robust $H_ınfty$ Control via Vertex-dependent Approach, in 23rd Med. Conf. Control and Automation, 2015, pp. 638–643.
    6. L. I. Allerhand and U. Shaked, Soft Controller Switching with Guaranteed $H_ınfty$ Performance, in IFAC-PapersOnline, 2015, vol. 48, no. 11, pp. 848–853.
    7. L. I. Allerhand, E. Gershon, and U. Shaked, State-feedback Control of Stochastic Discrete-time Linear Switched Systems with Dwell Time, in Eur. Control Conf., 2015, pp. 452–457.
    8. L. I. Allerhand, Stability of adaptive control in the presence of input disturbances and $H_ınfty$ performance, in IFAC-PapersOnline, 2015, vol. 48, no. 14, pp. 76–81.
  11. 2014

    1. J. Veenman and C. W. Scherer, A synthesis framework for robust gain-scheduling controllers, Automatica, vol. 50, no. 11, pp. 2799–2812, 2014.
    2. J. Veenman and C. W. Scherer, IQC-synthesis with general dynamic multipliers, Int. J. Robust Nonlin., vol. 24, no. 17, pp. 3027–3056, 2014.
    3. C. W. Scherer, $H_ınfty$- and $H_2$-synthesis for nested interconnections: A direct state-space approach by linear matrix inequalities, in 21st Int. Symp. Math. Theory Netw. and Systems, 2014.
  12. 2013

    1. J. Veenman and C. W. Scherer, Stability analysis with integral Quadratic constraints: A dissipativity based proof, in 52nd IEEE Conf. Decision and Control, 2013, pp. 3770–3775.
    2. C. W. Scherer, Gain-scheduled synthesis with dynamic stable strictly positive real multipliers: A complete solution, in Eur. Control Conf., 2013, pp. 3901–3906.
    3. C. W. Scherer and I. E. Köse, From transfer matrices to realizations: Convergence properties and parametrization of robustness analysis conditions, Syst. Control Lett., vol. 62, no. 8, pp. 632–642, 2013.
    4. C. W. Scherer, Gain-scheduled synthesis with dynamic generalized strictly positive real multipliers: A complete solution, in 52nd IEEE Conf. Decision and Control, 2013, pp. 4116–4121.
    5. C. W. Scherer, Structured $H_ınfty$-Optimal Control for Nested Interconnections: A State-Space Solution, Syst. Control Lett., vol. 62, no. 12, pp. 1105–1113, 2013.
    6. J. Chaudenson et al., Stability analysis of pulse-modulated systems with an application to space launchers, IFAC Proc. Vol., vol. 46, no. 19, pp. 494–499, 2013.
  13. 2012

    1. J. Veenman, C. W. Scherer, and I. Köse, Robust Estimation with Partial Gain-Scheduling Through Convex Optimization, in Control of Linear Parameter Varying Systems with Applications, J. Mohammadpour and C. W. Scherer, Eds. Springer, 2012, pp. 253–278.
    2. J. Veenman and C. W. Scherer, Robust Gain-scheduled Controller Synthesis is Convex for Systems without Control Channel Uncertainties, in 51st IEEE Conf. Decision and Control, Hawaii, USA, 2012, pp. 1524–1529.
    3. C. W. Scherer and J. Veenman, Robust Controller Synthesis is Convex for Systems without Control Channel Uncertainties, in 7th IFAC Symposium on Robust Control Design, Aalborg, DK, 2012, vol. 45, no. 13, p. 2012.
    4. C. W. Scherer and I. E. Köse, Gain-scheduled control synthesis using dynamic $D$-scales, IEEE T. Automat. Contr., vol. 57, no. 9, pp. 2219–2234, Sep. 2012.
    5. C. W. Scherer, Gain-scheduled synthesis with dynamic positive real multipliers, in 51st IEEE Conf. Decision and Control, Hawaii, USA, 2012, pp. 6641–6646.
    6. C. W. Scherer, Distributed control with dynamic dissipation constraints, in 50th Annual Allertin Conference on Communication, Control, and Computing, Monticello, Illinois, 2012, pp. 55–62.
    7. I. Polat and C. W. Scherer, Stability Analysis for Bilateral Teleoperation: An IQC Formulation, IEEE T. Robot., vol. 28, no. 6, pp. 1294–1308, Dec. 2012.
    8. J. Mohammadpour and C. W. Scherer, Control of Linear Parameter Varying Systems with Applications. Springer-Verlag, 2012.
    9. J. Chaudenson et al., PMW Modeling for Attitude Control of a Launcher During Ballistic Phase and Comparative Stability Analysis, in 7th IFAC Symposium on Robust Control Design, Aalborg, Denmark, 2012, vol. 45, no. 13, pp. 248–253.
    10. H. M. N. K. Balini, C. W. Scherer, and J. Witte, Synthesis and implementation of gain-scheduling and LPV controllers for an AMB system, Automatica, vol. 48, pp. 521–527, 2012.
  14. 2011

    1. J. Veenman and C. W. Scherer, IQC-Synthesis with General Dynamic Multipliers, in 18th IFAC World Congress, Milano, Italy, 2011, vol. 18, pp. 4600–4605.
    2. J. Veenman and C. W. Scherer, Robust Gain-Scheduled Estimation: A Convex Solution, in 50th IEEE Conf. Decision and Control, Orlando, FL, USA, 2011, pp. 1347–1352.
    3. C. W. Scherer and I. E. Köse, On Convergence of Transfer Matrices and their Realizations, in 18th IFAC World Congress, Milano, Italy, 2011, pp. 3348–3353.
    4. H. Köroglu and C. W. Scherer, Scheduled control for robust attenuation of non-stationary sinusodial disturbances with measurable frequencies, Automatica, vol. 47, pp. 504–514, 2011.
    5. C. W. J. Hol et al., Optimal Feedforward Filter Design for Flying Gauge Changes of a Continuous Cold Mill, in 18th IFAC World Congress, Milano, Italy, 2011, pp. 8545–8551.
    6. H. M. N. K. Balini, C. W. Scherer, and J. Witte, Performance Enhancement for AMB Systems Using Unstable $H_ınfty$ Controllers, IEEE T. Contr. Syst. T., vol. 19, pp. 1479–1492, 2011.
  15. 2010

    1. J. Witte, H. M. N. K. Balini, and C. W. Scherer, Experimental results with stable and unstable LPV controllers for an Active Magnetic Bearing System, in IEEE Multi-Conference on Control, Japan, 2010, pp. 950–955.
    2. J. Witte, H. M. N. K. Balini, and C. W. Scherer, Robust and LPV control of an AMB system, in Proc. American Control Conf., Baltimore, MD, USA, 2010, pp. 2194–2199.
    3. J. Veenman and C. W. Scherer, On Robust LPV Controller Synthesis: A Dynamic Integral Quadratic Constraint based Approach, in 49th IEEE Conf. Decision and Control, Atlanta, USA, 2010, pp. 591–596.
    4. E. J. Trottemant, C. W. Scherer, M. Weiss, and A. Vermeulen, Robust Missile Feedback Control Strategies, J. Guid. Control Dynam., vol. 33, no. 6, pp. 1837–1846, Nov. 2010.
    5. C. W. Scherer and S. Weiland, Linear Matrix Inequalities in Control, in The Control Systems Handbook, Second Edition, W. S. Levine, Ed. CRC Press, 2010, pp. 1–30.
    6. C. W. Scherer and I. E. Köse, Gain-Scheduled Control Synthesis using Dynamic $D$-Scales, in 49th IEEE Conf. Decision and Control, Altanta, GA, 2010, pp. 6845–6850.
    7. A. Marcos et al., Application of LPV Modeling, Design and Analysis Methods to Re-entry Vehicle, in Proc. AIAA Guidance, Navigation and Control Conf., Toronto, Canada, 2010.
    8. H. Köroglu and C. W. Scherer, Robust generalized asymptotic regulation against non-stationary sinusodial disturbances with uncertain frequencies, Int. J. Robust Nonlin., vol. 21, pp. 883–903, 2010.
    9. P. Estevez et al., A Haptic Tele-operated System for Microassembly, in in: Ratchev S. (eds) Precision Assembly Technologies and Systems. IPAS 2010. IFIP Advances in Information and Communication Technology, vol. 315 Springer, 2010, vol. 315, pp. 13–20.
    10. S. G. Dietz and C. W. Scherer, Robust output feedback control against disturbance filter uncertainty described by dynamic integral quadratic constraints, Int. J. Robust Nonlin., vol. 20, no. 17, pp. 1903–1919, Nov. 2010.
    11. H. M. N. K. Balini, J. Witte, C. W. Scherer, and S. G. Dietz, Active magnetic bearings: Robust performance against uncertainty in rotational speed, in 5th IFAC Symposium on Mechatrinic Systems, Cambridge, USA, 2010, pp. 355–360.
    12. H. M. N. K. Balini, J. Witte, and C. W. Scherer, Advanced Control for Active Magnetic Bearing Systems, in 10th Int. Conf. of the Eur. Society for Precision Engineering and Nanotechnology, Delft, 2010, pp. 344–347.
    13. H. M. N. K. Balini, I. Houtzager, J. Witte, and C. W. Scherer, Subspace identification and robust control of an AMB system, in Proc. American Control Conf., Baltimore, MD, USA, 2010, pp. 2200–2205.
  16. 2009

    1. P. Viccione, C. W. Scherer, and M. Innocenti, LPV Synthesis with Integral Quadratic Constraints for Distributed Control of Interconnected Systems, in 6th IFAC Symposium on Robust Control Design, Haifa, 2009.
    2. J. Veenman, H. Köroglu, and C. W. Scherer, Analysis of the controlled NASA HL20 atmospheric re-entry vehicle based on Dynamic IQCs, in Proc. AIAA Guidance, Navigation and Control Conf., 2009.
    3. J. Veenman, H. Köroglu, and C. W. Scherer, IQC-Based LPV Controller Synthesis for the NASA HL20 Atmospheric Re-entry Vehicle, in Proc. AIAA Guidance, Navigation and Control Conf., 2009.
    4. C. Scherer, Robust Controller Synthesis is Convex for Systems without Control Channel Uncertainties, in Model-Based Control: Bridging Rigorous Theory and Advanced Technology, P. M. J. V. den Hof, C. W. Scherer, and P. S. C. Heunberger, Eds. Springer US, 2009, pp. 13–30.
    5. I. Masubuchi and C. W. Scherer, A recursive algorithm of exactness verification of relaxations for robust SDPs, Syst. Control Lett., vol. 58, pp. 592–601, 2009.
    6. H. Köroglu and C. W. Scherer, Generalized asymptotic regulation with guaranteed $H_2$ performance: An LMI solution, Automatica, vol. 45, pp. 823–829, 2009.
    7. I. E. Kose and C. W. Scherer, Robust $L_2$-gain feedforward control of uncertain systems using dynamic IQCs, Int. J. Robust Nonlin., vol. 19, no. 11, pp. 1224–1247, Jul. 2009.
    8. P. M. J. V. den Hof, C. W. Scherer, and P. S. C. Heunberger, Model-Based Control: Bridging Rigorous Theory and Advanced Technology. Springer-Verlag, 2009.
  17. 2008

    1. J. Veenman, H. Köro/uglu, and C. W. Scherer, An IQC Approach to Robust Estimation against Perturbations of Smoothly Time-Varying Parameters, in 47th IEEE Conf. Decision and Control, Cancun, Mexico, 2008, pp. 2533–2538.
    2. E. J. Trottermant, C. W. Scherer, M. Weiss, and A. F. Vermeulen, Robust Minimax Strategies for Missile Guidance Design, in Proc. AIAA Guidance, Navigation and Control Conf., 2008.
    3. C. W. Scherer and I. E. Köse, Robustness with dynamic IQCs: An exact state-space characterization of nominal stability with applications to robust estimation, Automatica, vol. 44, no. 7, pp. 1666–1675, 2008.
    4. J. M. Rieber, C. W. Scherer, and F. Allgower, Robust $l_1$ performance analysis for linear systems with parametric uncertainties, Int. J. Control, vol. 81, no. 5, pp. 851–864, 2008.
    5. H. Nguyen Tien, C. W. Scherer, and J. M. A. Scherpen, IQC-based robust stability analysis for LPV control of doubly-fed induction generators, in 10th int. Conf. Control, Automation, Robotics and Vision, Hanoi, Vietnam, 2008.
    6. I. E. Köse and C. W. Scherer, Reduced complexity existence conditions for robust $L_2$-gain feedforward controllers for uncertain systems using dynamic IQCs, in 17th IFAC World Congress, Seoul, South Korea, 2008.
    7. H. Köroglu and C. W. Scherer, An LMI approach to $H_ınfty$ synthesis subject to almost asymptotic regulation constraints, Syst. Control Lett., vol. 57, no. 4, pp. 300–308, 2008.
    8. H. Köroglu and C. W. Scherer, Robust attenuation of non-stationary sinusoidal disturbances with uncertain frequencies, in 17th IFAC World Congress, Seoul, South Korea, 2008.
    9. H. Köroglu and C. W. Scherer, LPV control for robust attenuation of non-stationary sinusodial disturbances with measurable frequencies, in 17th IFAC World Congress, Seoul, South Korea, 2008.
    10. H. Köroglu and C. W. Scherer, Robust Generalized Asymptotic Regulation against Non-Stationary Sinusoidal Disturbances, in 47th IEEE Conf. Decision and Control, 2008.
    11. S. G. Dietz and C. W. Scherer, Verifying exactness of relaxations for robust semi-definite programs by solving polynomial systems, Linear Algebra Appl., vol. 429, no. 7, pp. 1758–1778, 2008.
    12. S. G. Dietz, H. Köroglu, and C. W. Scherer, Robust controller synthesis for disturbance filter uncertainty described by dynamic integral quadratic constraints, in 17th IFAC World Congress, Seoul, South Korea, 2008, pp. 1325–1330.
    13. S. G. Dietz, H. M. N. K. Balini, and C. W. Scherer, Robust control against disturbance model uncertainty in active magnetic bearings, in Proc. 11th International Symposium on Magnetic Bearings, 2008.
    14. H. M. N. K. Balini, H. Köroglu, and C. W. Scherer, LPV Control for synchronous disturbance attenuation in active magnetic bearings, in Proc. Dynamic Systems and Control Conf., Ann Arbor, Michigan, 2008.
  18. 2007

    1. M. Weiss, M. Rol, W. Falkena, and C. W. Scherer, Guidance performance analysis in the presence of model uncertainties, in Proc. AIAA Guidance, Navigation and Control Conf., 2007, vol. 5, pp. 4422–4433.
    2. C. W. Scherer and I. E. Köse, Gain-scheduling synthesis with dynamic $D$-scalings, in 46th IEEE Conf. Decision and Control, 2007.
    3. C. W. Scherer and I. E. Köse, On robust controller synthesis with dynamic $D$-scalings, in 46th IEEE Conf. Decision and Control, 2007.
    4. H. Nguyen Tien, C. W. Scherer, and J. M. A. Scherpen, Self-scheduled LPV controller synthesis for doubly-fed induction generators, in Proc. Windpower, Los Angeles, 2007.
    5. H. Nguyen Tien, C. W. Scherer, and J. M. A. Scherpen, Robust performance of self-scheduled LPV control of doubly-fed induction generator in wind energy conversion systems, in Eur. Conf. on Power Electronics and Applications, 2007.
    6. I. E. Köse and C. W. Scherer, Robust feedforward control of uncertain systems using dynamic IQCs, in 46th IEEE Conf. Decision and Control, 2007, pp. 2181–2186.
    7. H. Köroglu and C. W. Scherer, An LPV control approach to asymptotic rejection of non-stationary disturbances with guaranteed worst-case performance, in Proc. American Control Conf., 2007, pp. 6085–6090.
    8. H. Köroglu and C. W. Scherer, Robust Performance Analysis for Structured Linear Time-Varying Perturbations with Bounded Rates-of-Variation, IEEE T. Automat. Contr., vol. 52, no. 2, pp. 197–211, 2007.
    9. H. Köroglu and C. W. Scherer, Asymptotic Rejection of Non-Stationary Sinusodial Disturbances with Guaranteed Worst-Case Performance, in Philips Conf. Appl. of Cont. Tech., 2007, pp. 126–130.
    10. S. Dietz, C. W. Scherer, and H. Köroglu, Robust control adainst disturbance model uncertainty: a convex solution, in 46th IEEE Conf. Decision and Control, New Orleans, LA, 2007.
  19. 2006

    1. C. W. Scherer and I. Köse, Robust $H_2$ estimation with dynamic IQCs: A convex solution, in 45th IEEE Conf. Decision and Control, San Diego, 2006, pp. 4746–4751.
    2. C. W. Scherer and I. E. Köse, Robust estimation with dynamic integral quadratic constraints, in 17th International Symposium on Mathematical Theory of Networks and Systems, Kyoto, Japan, 2006.
    3. C. W. Scherer and C. W. J. Hol, Matrix sum-of-squares relaxations for robust semi-definite programs, Math. Program., vol. 107, pp. 189–211, 2006.
    4. C. W. Scherer, LMI Relaxations in Robust Control, Eur. J. Control, vol. 12, pp. 3–29, 2006.
    5. J. M. Rieber, C. W. Scherer, and F. Allgöwer, On complexity issues in multiobjective controller design using convex optimization, in 5th IFAC Symposium on Robust Control Design, Toulouse, France, 2006.
    6. J. M. Rieber, C. W. Scherer, and F. Allgoöwer, Robust $l_1$ performance analysis in face of parametric uncertainties, in 45th IEEE Conf. Decision and Control, 2006, pp. 5826–5831.
    7. I. E. Köse and C. W. Scherer, Gain-Scheduled Control using Dynamic Integral Quadratic Constraints, in 5th IFAC Symposium on Robust Control Design, Toulouse, France, 2006.
    8. H. Köroglu and C. W. Scherer, Robust stability analysis tests for linear time-varying pertubations with bounded rates-of-variation, in 5th IFAC Symposium on Robust Control Design, 2006.
    9. H. Köroglu and C. W. Scherer, Robust stability analysis against perturbations of smoothly time-varying parameters, in 45th IEEE Conf. Decision and Control, 2006, pp. 2895–2900.
    10. S. G. Dietz and C. W. Scherer, Relaxations of robust linear programs and verification of exactness, in 5th IFAC Symposium on Robust Control Design, Toulouse, France, 2006, pp. 345–350.
    11. S. G. Dietz and C. W. Scherer, Linear parameter-Varying controller synthesis using matrix sum-of Squares, in Proc. XVI Brazilian Automation Conf. and Latin-American Cong. on Autom. Control, 2006.
    12. H. Chen and C. W. Scherer, Moving horizon $H_ınfty$ control with performance adaptation for constrained linear systems, Automatica, vol. 42, no. 6, pp. 1033–1040, 2006.
    13. R. Bars et al., Theory, algorithms and technology in the design of control systems, Annu. Rev. Control, vol. 30, no. 1, pp. 19–30, 2006.
  20. 2005

    1. C. W. Scherer, How to construct asymptotically exact relaxations in robust control?, Journal of SICE, vol. 44, pp. 519–533, 2005.
    2. C. W. Scherer, On Numerical Verifiable Exactness of Multiplier Relaxations, in 16th IFAC World Congress, Prague, 2005.
    3. C. W. Scherer, Relaxations for robust linear matrix inequality problems with verifications for exactness, SIAM J. Matrix Anal. A., vol. 27, no. 2, pp. 365–395, 2005.
    4. H. Köroglu and C. W. Scherer, Robust stability analysis for structured uncertainties with bounded variation rates, in 16th IFAC World Congress, Prague, 2005.
    5. H. Köroglu and C. W. Scherer, Robust performance analysis for linear slowly time-varying perturbations, in 44th IEEE Conf. Decision and Control, Sevilla, Spain, 2005.
    6. C. W. J. Hol and C. W. Scherer, Sum of squares relaxations for robust polynomial semi-definite programs, in 16th IFAC World Congress, Prague, 2005.
    7. C. Hol and C. W. Scherer, A sum-of-squares approach to fixed-order $H_ınfty$-synthesis, in Lecture Notes in Control and Information Sciences, D. Henrion and A. Garulli, Eds. Springer-Verlag, 2005, pp. 45–71.
    8. M. Groot Wassink, M. van de Wal, C. W. Scherer, and O. Bosgra, LPV control for a wafer stage: beyond the theoretical solution, Control Eng. Pract., vol. 13, pp. 231–245, 2005.
    9. E. de Gelder, M. van de Wal, C. W. Scherer, C. W. J. Hol, and O. H. Bosgra, Nominal and robust feedforward design with time domain constraints applied to a wafer stage, J. Dyn. Sys., Meas., Control, vol. 128(2), pp. 204–215, 2005.
  21. 2004

    1. M. Zandvliet, C. W. Scherer, C. W. J. Hol, and M. van de Wal, Multi-objective $H_ınfty$ Control Applied to a Wafer Stage Model, in 43rd IEEE Conf. Decision and Control, Atlantis, Paradise Island, Bahamas, 2004, pp. 796–802.
    2. G. M. Voorsluijs, S. Bennani, and C. W. Scherer, Linear and Parameter-Dependent Robust Control Techniques applied to a Helicopter UAV, in Proc. AIAA Guidance, Navigation and Control Conf., Providence, Rhode Island, 2004, p. 12.
    3. C. W. Scherer and C. W. J. Hol, Asymptotically Exact Relaxations for Robust LMI Problems based on Matrix-Valued Sum-of-Squares, in MTNS, Leuven, Belgium, 2004.
    4. C. W. Scherer, Review of book Matrix Riccati Equations in Control and Systems Theory, IEEE T. Automat. Contr., vol. 49, no. 11, pp. 2094–2095, 2004.
    5. C. W. Scherer, LMI relaxations in robust control (tutorial), in MTNS, Leuven, Belgium, 2004.
    6. S. Kanev, C. W. Scherer, M. Verhaegen, and B. De Schutter, Robust output-feedback controller design via local BMI optimization, Automatica, vol. 40, no. 7, pp. 1115–1127, Jul. 2004.
    7. C. W. J. Hol and C. W. Scherer, Fixed Order $H_ınfty$-synthesis: Computing Optimal Values by Robust Performance Analysis, in Proc. American Control Conf., Boston, Mass, 2004, pp. 3285–3290.
    8. C. W. J. Hol and C. W. Scherer, Computing Optimal Fixed Order $H_ınfty$-synthesis Values by Matrix Sum of Squares Relaxations, in 43rd IEEE Conf. Decision and Control, Atlantis, Paradise Island, Bahamas, 2004, pp. 3147–3153.
    9. C. W. J. Hol and C. W. Scherer, Sum of Squares Relaxations for Polynomial Semi-definite Programming, in MTNS, Leuven, Belgium, 2004.
    10. H. Chen and C. W. Scherer, An LMI based model predictive control scheme with guaranteed $H_ınfty$ performance and its application to active suspension, in Proc. American Control Conf., Boston, 2004, pp. 1487–1492.
  22. 2003

    1. C. W. Scherer, Testing the Exactness of Convex Relaxations for Robust LMI Problems, in Proc. Appl. Math. Mech., 2003, vol. 3, pp. 52–55.
    2. C. W. Scherer, When are multiplier relaxations exact?, in 4th IFAC Symposium on Robust Control Design, Milano, Italy, 2003.
    3. C. W. Scherer, Higher-Order Relaxations for Robust LMI Problems with Verifications for Exactness, in 42nd IEEE Conf. Decision and Control, Maui, Hawaii, 2003, pp. 4652–4657.
    4. G. P. Kiesmüller and C. W. Scherer, Computational issues in a stochastic finite horizon one product recovery inventory model, Eur. J. Oper. Res., vol. 146, no. 3, pp. 553–579, 2003.
    5. S. Kanev, C. W. Scherer, M. Verhaegen, and B. de Schutter, A BMI Optimization Approach to Robust Output-Feedback Control, in 42nd IEEE Conf. Decision and Control, Maui, Hawaii, 2003, pp. 851–856.
    6. C. W. J. Hol, C. W. Scherer, E. G. van der Mech/’e, and O. H. Bosgra, A Trust-Region Interior Point Approach to Fixed-Order Control applied to the Benchmark System, in Proceedings of International Workshop: Design and Optimisation of Restricted Complexity Controllers, Grenoble, France, 2003.
    7. C. Hol, C. W. Scherer, E. van der Mech/’e, and O. H. Bosgra, A nonlinear SDP approach to fixed-order controller synthesis and comparison with two other methods applied to an active suspension system, Eur. J. Control, vol. 9, no. 1, pp. 13–28, 2003.
    8. S. Dietz, C. W. Scherer, G. Looye, and S. Bennani, Comparison of Different LMI Synthesis Techniques to Design a Flexible Aircraft Gust Response Control Law, in Proc. AIAA Guidance, Navigation and Control Conf., Austin, Texas, 2003.
    9. T. Basar, P. P. Khargonekar, P. V. Kokotovic, and C. W. Scherer, Panel Discussion Witherto Robust Control, in 4th IFAC Symposium on Robust Control Design, Milano, Italy, 2003.
  23. 2002

    1. C. W. Scherer, H. Chen, and F. Allgöwer, Disturbance attenuation with actuator constraints by hybrid state-feedback control, in 41st IEEE Conf. Decision and Control, Las Vegas, Nevada, USA, 2002, pp. 4134–4139.
    2. C. W. Scherer, Robust $H_2$-controller design under structured noise uncertainty, in 15th IFAC World Congress, Barcelona, 2002, p. 6 pages.
    3. C. W. Scherer, Structured finite-dimensional controller design by convex optimization, Linear Algebra Appl., vol. 351–352, pp. 639–669, Aug. 2002.
    4. M. Dettori and C. W. Scherer, MIMO control design for a compact disk player with multiple norm specifications, IEEE T. Contr. Syst. T., vol. 10, no. 5, pp. 635–645, 2002.
  24. 2001

    1. D. Van Hessem, C. W. Scherer, and O. H. Bosgra, LMI-based closed-loop economic optimization of stochastic process operation under state and input constraints, in 40th IEEE Conf. Decision and Control, Orlando, FL, 2001, p. 6 pages.
    2. C. W. Scherer, Multi-objective control without Youla parameterization, in Perspectives in Robust Control, S. O. R. Moheimani, Ed. London: Springer-Verlag, 2001, pp. 311–325.
    3. C. W. Scherer, On the design of structured controllers, in European Control Conf., Porto, Portugal, 2001, p. 6 pages.
    4. C. W. Scherer, LPV Control and full block multipliers, Automatica, vol. 37, pp. 361–375, 2001.
    5. M. Dettori and C. W. Scherer, LPV design for a CD player: an experimental evaluation of performance, in 40th IEEE Conf. Decision and Control, 2001, p. 6 pages.
    6. F. Allgöwer, S. Engell, F. Piwonka, C. W. Scherer, K. Schlacher, and H. Schuler, Methodische Perspektiven in der Automatisierungstechnik, aT. Autom., vol. 49, pp. 7–9, 2001.
  25. 2000

    1. C. W. Scherer, Robust controller design by output feedback against uncertain stochastic disturbances, in 3rd IFAC Symposium on Robust Control Design, Prague, 2000, p. 6 pages.
    2. C. W. Scherer, Review of Book $H_ınfty$ Control and Its Applications by Ben M. Chen, Automatica, vol. 36, pp. 1247–1248, 2000.
    3. C. W. Scherer, An efficient solution to multi-objective control problems with LMI objectives, Syst. Contr. Letters, vol. 40, no. 1, pp. 43–57, 2000.
    4. C. W. Scherer, Robust Mixed Control and LPV Control with Full Block Scalings, in Advances in Linear Matrix Inequality Methods in Control, L. El~Ghaoui and S. I. Niculescu, Eds. Philadelphia: SIAM, 2000, pp. 187–207.
    5. C. W. Scherer, Design of Structured Controllers with Applications, in 39th IEEE Conf. Decision and Control, Sydney, Australia, 2000.
    6. G. P. Kiesmüller and C. W. Scherer, Approximate Optimal Policies for a Stochastic Finite Horizon One Product Recovery Inventory Model, in Operations Research Proceedings 2000, 2000, pp. 310–315.
    7. B. G. Dijkstra, N. J. Rambaratsingh, O. H. Bosgra, M. Steinbuch, S. Kerssemakers, and C. W. Scherer, Input design for optimal discrete time point-to-point motion of an industrial xy-positioning table, in 39th IEEE Conf. Decision and Control, Sydney, Australia, 2000, p. 6 pages.
    8. M. Dettori and C. W. Scherer, New robust stability and performance conditions based on parameter dependent multipliers, in 39th IEEE Conf. Decision and Control, Sydney, Australia, 2000, p. 6.
  26. 1999

    1. C. W. Scherer, Lower Bounds in Multi-Objective $H_2/H_ınfty$ Problems, in 38th IEEE Conf. Decision and Control, Phoenix, Arizona, 1999, pp. 3605–3610.
    2. C. W. Scherer, From Mixed to Multi-Objective Control, in 38th IEEE Conf. Decision and Control, Phoenix, Arizona, 1999, pp. 3621–3626.
    3. M. Dettori and C. W. Scherer, Digital Implementation of a Mixed Objectives MIMO Controller for a Compact Disc Player Using a Multiprocessor System, in Proc. American Control Conf., San Diego, CA, 1999, pp. 3630–3634.
    4. M. Dettori and C. W. Scherer, Design and Implementation of a Gain Scheduled Controller for a Compact Disc Player, in European Control Conf., Karlsruhe, Germany, 1999, p. 6.
  27. 1998

    1. C. W. Scherer, Robust Performance Analysis for Parameter Dependent Systems Using Tensor Product Splines, in 37th IEEE Conf. Decision and Control, Tampa, Fl, 1998, pp. 2216–2221.
    2. M. Dettori and C. W. Scherer, Robust Stability Analysis for Parameter Dependent Systems Using Full Block S-Procedure, in 37th IEEE Conf. Decision and Control, Tampa, FL, 1998, pp. 2798–2799.
    3. M. Dettori and C. W. Scherer, Gain Scheduling Control for a CD Player Mechanism Using LPV Techniques, in Proc. 6th IEEE Mediterranean Conference on Control and Systems, Alghero, Italy, 1998, pp. 385–390.
    4. M. Dettori, C. W. Scherer, and V. Prodanovic, Mixed Objectives MIMO Control Design for a Compact Disc Player, in Proc. American Control Conf., Philadelphia, 1998, pp. 1284–1288.
    5. H. Chen, C. W. Scherer, and F. Allgöwer, A Robust Model Predictive Control Scheme for Constrained Linear Systems, in 5th IFAC Symposium on Dynamics and Control of Process Systems, Corfu, Greece, 1998, pp. 60–65.
    6. S. Bennani, D. M. C. Willemsen, and C. W. Scherer, Robust Control of Linear Parametrically Varying Systems with Bounded Rates, J. Guid. Control Dynam., vol. 21, pp. 916–922, 1998.
  28. 1997

    1. C. W. Scherer, P. Gahinet, and M. Chilali, Multi-objective output-feedback control via LMI optimization, IEEE T. Automat. Contr., vol. 42, pp. 896–911, 1997.
    2. C. W. Scherer, S. Bennani, and E. Nijo, Parametrically Varying Flight Control System Design with Full Block Scalings, in 36th IEEE Conf. Decision and Control, San Diego, CA, 1997, pp. 1510–1515.
    3. C. W. Scherer, A Full Block S-Procedure with Applications, in 36th IEEE Conf. Decision and Control, San Diego, CA, 1997, pp. 1510–1515.
    4. C. W. Scherer, Positive definite solutions of the nonstrict Lyapunov inequality, in European Control Conf., Brussels, Belgium, 1997, p. 6.
    5. C. W. Scherer, Lineare Matrixungleichungen in der Theorie der robusten Regelung, Automatisierungstechnik, vol. 7, pp. 306–318, 1997.
    6. H. Chen, C. W. Scherer, and F. Allgöwer, A game theoretic approach to nonlinear robust receding horizon control of constrained systems, in Proc. American Control Conf., Albuquerque, NM, 1997, pp. 3073–3077.
    7. S. Bennani, G. Looye, and C. W. Scherer, $\mu$-synthesis, in Robust Flight Control: A Design Challenge, J. F. Magni, S. Bennani, and J. Terlouw, Eds. Berlin: Springer-Verlag, 1997, pp. 81–101.
  29. 1996

    1. C. W. Scherer, Robust generalized $H_2$ control for uncertain and LPV systems with general scalings, in 35th IEEE Conf. Decision and Control, Kobe, Japan, 1996, pp. 3970–3975.
    2. C. W. Scherer, Mixed $H_2/H_ınfty$ control for time-varying and linear parametrically-varying systems, Int. J. Robust Nonlin., vol. 6, pp. 929–952, 1996.
    3. P. Gahinet, M. Chilali, and C. W. Scherer, Multi-objective output-feedback Control, in 13th IFAC World Congress, San Francisco, CA, 1996, pp. 249–254.
  30. 1995

    1. C. W. Scherer, Multiobjective $H_2/H_ınfty$ control, IEEE T. Automat. Contr., vol. 40, pp. 1054–1062, 1995.
    2. C. W. Scherer, The general nonstrict algebraic Riccati inequality, Linear Algebra Appl., vol. 219, pp. 1–33, 1995.
    3. C. W. Scherer, Mixed $H_2/H_ınfty$ control for linear parametrically-varying systems, in 34th IEEE Conf. Decision and Control, New Orleans, LO, 1995, pp. 3182–3187.
    4. C. W. Scherer, The algebraic Riccati equation and inequality for systems with uncontrollable modes on the imaginary axis, SIAM J. Matrix Anal. A., vol. 16, no. 4, pp. 1308–1327, 1995.
    5. C. W. Scherer, A complete algebraic solvability test for the nonstrict Lyapunov inequality, Syst. Contr. Letters, vol. 25, pp. 327–335, 1995.
    6. C. W. Scherer, Mixed $H_2/H_ınfty$ control, in Trends in Control, A European Prospective, A. Isidori, Ed. New York: Springer-Verlag, 1995, pp. 173–216.
  31. 1994

    1. C. W. Scherer, Algebraic solvability tests for the nonstrict Lyapunov inequality, in 33rd IEEE Conf. Decision and Control, Orlando, FL, 1994, pp. 1505–1510.
    2. C. W. Scherer, The state-feedback $H_ınfty$-problem at optimality, Automatica, vol. 30, no. 2, pp. 293–305, 1994.
    3. C. W. Scherer, The nonstrict algebraic Riccati inequality, in MTNS, Regensburg, Germany, 1994, pp. 461–464.
  32. 1993

    1. C. W. Scherer, Algebraic solvability tests for linear matrix inequalities, in 32nd IEEE Conf. Decision and Control, San Antonio, TX, 1993, pp. 349–354.
    2. C. W. Scherer, The parametrization of static state-feedback $H_ınfty$-controllers, in European Control Conf., Groningen, The Netherlands, 1993, pp. 1166–1170.
  33. 1992

    1. C. W. Scherer, $H_ınfty$-optimization without assumptions on finite or infinite zeros, SIAM J. Contr. Optim., vol. 30, pp. 143–166, 1992.
    2. C. W. Scherer, $H_ınfty$-control by state-feedback for plants with zeros on the imaginary axis, SIAM J. Contr. Optim., vol. 30, pp. 123–142, 1992.
  34. 1991

    1. C. W. Scherer, The solution set of the algebraic Riccati equation and the algebraic Riccati inequality, Linear Algebra Appl., vol. 153, pp. 99–122, 1991.
  35. 1990

    1. C. W. Scherer, The Riccati inequality and state-space H∞-optimal control., Julius Maximilians University Würzburg, Germany, 1990.
    2. C. W. Scherer, $H_ınfty$-control by state-feedback and fast algorithms for the computation of optimal $H_ınfty$-norms, IEEE T. Automat. Contr., vol. 35, no. 10, pp. 1090–1099, 1990.
  36. 1989

    1. C. W. Scherer, $H_ınfty$-control by state-feedback: an iterative algorithm and characterization of high-gain occurrence, Syst. Control Lett., vol. 12 (5), pp. 383--391, 1989.
  37. 1988

    1. C. W. Scherer, Almost disturbance decoupling with stability by dynamic output feedback: A sufficient condition, Syst. Control Lett., vol. 10, pp. 291–299, 1988.

Current semester

Current courses can be found on the Teaching Page or directly in Campus

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Summer Term 2024

  • Robust Control
  • Advanced Calculus for for Sim Tech 2

Winter Termn 2023/2024

  • Robust Control

Summer Termn 2023

  • Research period

Winter Termn 2022/2023

  • Einführung in die Optimierung
  • Robust Control

Summer Term 2021:

  • Robust Control

Winter Term 2021/22

  • Linear Control Theory
  • Linear Matrix Inequalities in Control

Summer Term 2021:

  • Robust Control
  • Analysis for SimTech

Winter Term 2020/21

  • Linear Control Theory

Summer Term 2020:

  • Robust Control

Winter Term 2019/2020

  • Linear Matrix Inequalities in Control
  • Optimization
  • Sim Tech Graduate Seminar – PN4 - The Mathematics of Gaussian Processes in Control

Winter Term 2019/2020

  • Linear Matrix Inequalities in Control
  • Einführung in die Optimierung
  • Sim Tech Graduate Seminar – PN4- The Mathematics of Gaussian Processes in Control

Summer Term 2019

  • Robust Control
  • Seminar: Optimization

Winter term 2018/2019

  • Control Theory
  • Optimization

Summer term 2018

  • Robust control
  • Dynamical systems

Winter term 2017/2018

  • Research period

Summer term 2017

  • Linear algebra 2

Winter term 2016/2017

  • Robust control
  • Linear algebra 1

Summer term 2016

  • Linear matrix inequalities in control
  • Advanced calculus for SimTech 2

Winter term 2015/2016

  • Robust control

Summer term 2015

  • Control theory
  • Advanced calculus for SimTech 2

Winter term 2014/2015

  • Dynamical systems
  • Masters seminar: Mathematical system theory

Summer term 2014

  • Linear matrix inequalities
  • Advanced calculus for SimTech 2

Winter term 2013/2014

  • Robust control
  • SimTech seminar: Distributed dynamical systems

Summer term 2013

  • Research period

Winter term 2012/2013

  • Control theory
  • Linear matrix inequalities in control
  • Seminar: Control theory

Summer term 2012

  • Robust control
  • Mathematical modeling of ordinary differential equations
  • Numerical mathematics 2

Winter term 2011/2012

  • Numerical mathematics 1
  • Seminar: Applications of linear algebra

Summer term 2011

  • Linear algebra 2

Winter term 2010/2011

  • Linear matrix inequalities in control
  • Linear algebra 1

Summer term 2010

  • Control theory
  • Robust control

Short Biograhpy:

Carsten W. Scherer earned the Ph.D. degree in mathematics from the University of Würzburg (Germany) in 1991. After six months of research at the University of Groningen (The Netherlands), the University of Michigan (Ann Arbor) and Washington University (St. Louis) respectively, Dr. Scherer joined Delft University of Technology (The Netherlands) in 1993 where he held positions as an assistant and associate professor. In fall 1999 he spent a three months sabbatical as a visiting professor at the Automatic Control Laboratory of ETH Zurich. From December 2001 until Feburary 2010 he was a full professor within the Delft Center for Systems and Control at Delft University of Technology.

Since March 2010 he holds the new SRC SimTech Chair Mathematical Systems Theory
in the Department of Mathematics at the University of Stuttgart.
 
 

 

Control of Linear Parameter Varying Systems with Applications  
Javad Mohammadpour and Carsten W. Scherer (Eds.), 2012

Model Based Control: Bridging Rigorous Theory and Advanced Technology
Paul M.J. van den Hof, Carsten W. Scherer and Peter S.C. Heuberger (Eds.), 2009   

Linear Matrix Inequalities in Control
Carsten W. Scherer and Siep Weiland, Version 2015

Theory of Robust Control
Carsten W. Scherer

This image shows Carsten W.  Scherer

Carsten W. Scherer

Professor Dr.

Head of Institute and Chairholder mst / Erasmus-Coordinator Dep. of Mathematics

[Photo: Uni Stuttgart]

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