Modern control theory

Author: Zhong Qiu-Hai
Publisher:
Publish Date: 2004-11-01
Features: This book introduces the five main parts of modern control theory from an engineering practical perspective: Linear System Theory (State-Space Analysis Methods, Lyapunov Stability Analysis, State Feedback and Pole Placement), Optimal Control Theory (Variational Methods, Maximum Principle, and Dynamic Programming), Optimal Estimation Theory (Minimum Variance, Maximum a Posteriori, Maximum Likelihood, Linear Minimum Variance, Least Squares Estimation, and Kalman Filtering), System Identification Methods (Direct Methods, Correlation Methods, Recursive Least Squares Methods, Auxiliary Variable Methods, Generalized Least Squares Methods, Augmented Matrix Methods, and Multi-step Least Squares Methods), and Adaptive Control Theory (Model Reference Adaptive, Self-Tuning Adaptive). For ease of learning, Appendices I and II are provided at the end of the book, including Common MATLAB Commands and Examples, and Matrix Operations and Probability Statistics. This book is written based on the author's many years of teaching practice and research, summarizing and improving to ensure that theory is closely linked to practice. To help readers master the content, in addition to providing abundant examples, a sufficient number of exercises are selected at the end of each chapter. The target readers of this book are undergraduate and graduate students, as well as science and technology workers and engineering technicians from various industries who are interested in control theory.