Modern control theory

Author: Zhong QiuHai
Publisher:
Publish Date: 2005-03-01
Features: This book introduces the five major parts of modern control theory from an engineering practical perspective to readers: 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 Method, Correlation Method, Recursive Least Squares Method, Auxiliary Variable Method, Generalized Least Squares Method, Augmented Matrix Method, and Multi-Step Least Squares Method), 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: Appendix I, Common MATLAB Commands and Examples, and Appendix II, Matrix Operations and Probability Statistics.