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bernal m analysis synthesis nonlinear control sys 2022

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Textbook in PDF format A modern perspective on the modelling, analysis, and synthesis ideas behind convex-optimisation-based control of nonlinear systems: it embeds them in models with convex structures. Analysis and Synthesis of Nonlinear Control Systems begins with an introduction to the topic and a discussion of the problems to be solved. It then explores modelling via convex structures, including quasi-linear parameter-varying, Takagi–Sugeno models, and linear fractional transformation structures. The authors cover stability analysis, addressing Lyapunov functions and the stability of polynomial models, as well as the performance and robustness of the models. With detailed examples, simulations, and programming code, this book will be useful to instructors, researchers, and graduate students interested in nonlinear control systems. Introduction Problems to Be Solved and Scope of the Book Modelling via Convex Structures Stability Analysis State Feedback, Performance, and Robustness Observation and Output Feedback Conclusions and Perspectives Appendix A. Useful Matrix and Norm Results Appendix B. Lyapunov Stability Appendix C. Convex Optimisation Tools Appendix D. Convex Sum Relaxations

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Bernal M. Analysis and Synthesis of Nonlinear Control Systems 2022.pdf 6.3 MB

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bernal m analysis synthesis nonlinear control sys 2022