Adaptive Control (Second Edition)

Author: Wu Shichang
Publisher:
Publish Date: 2005-02-24
Features: This book primarily introduces the fundamental theories of linear model reference adaptive and self-tuning control, as well as various practical design methods. The content includes:
Starting from the general form of linear differential equations, it presents the basic concepts of parameter adaptation and an overview of its development;
Using three unified formats, it summarizes the various main augmented error signal model reference adaptive methods designed since 1974 based on Lyapunov stability theory;
It designs simple and practical methods without augmented error signals using Popov hyperstability theory;
Beginning with the case where object model parameters are known, it derives practical self-tuning methods such as self-tuning prediction, self-tuning regulators, and controllers by replacing unknown parameters with identified parameters;
Then, it provides a unified format for model reference and self-tuning control, analyzes system stability and convergence using unified format equations, and briefly discusses robustness issues;
Finally, it presents application examples to demonstrate the superiority of adaptation.
The various practical design methods provided in this book are easy to understand and possess performance advantages over conventional feedback control in overcoming uncertainties in object model parameters and disturbances. They are particularly suitable for objects with unknown parameters and slow time variations, and can also be used by engineers engaged in automatic control for practical applications.
This book serves as a graduate textbook for students majoring in "Control Theory and Control Engineering" in higher-level universities and colleges, as well as a selective course textbook for senior undergraduate students. It can also be used as a reference textbook for related disciplines.