This book presents 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.