Introduction to Nonlinear Control

Stability, Control Design, and Estimation

Christopher M. Kellett, Philipp Braun

• Éditeur: Princeton University Press
• Année: 2023
• ISBN:
  9780691240497
• Sujet: Mathematics
• Sous-sujet: Linear & Nonlinear Programming

An introductory text on the analysis, control, and estimation of nonlinear systems, appropriate for advanced undergraduate and graduate students This self-contained and accessible introduction to the concepts and techniques used for nonlinear feedback systems offers a holistic treatment suitable for use in both advanced undergraduate and graduate courses; students need only some familiarity with differential equations and linear algebra to understand the material presented. The text begins with an overview of stability and Lyapunov methods for nonlinear systems, with Lyapunov's second method revisited throughout the book as a connective thread. Other introductory chapters cover linear systems, frequency domain methods, and discrete-time systems. Building on this background material, the book provides a broad introduction to the basic ideas underpinning major themes of research in nonlinear control, including input-to-state stability, sliding mode control, adaptive control, feedback linearization, and robust output regulation. Chapters also cover observer design and estimation for nonlinear systems. The text is notable for its coverage of nonlinear model predictive control and its introduction to the use of linear matrix inequalities and semidefinite programming coupled with their use in modern antiwindup designs.• First text on nonlinear control appropriate for undergraduates
• Suitable both for students preparing for rigorous graduate study and for those entering technical fields outside of academia
• Unique in its coverage of recent research topics
• Pedagogical features including extensive chapter summaries, examples, and appendixes with definitions, results, and MATLAB applications