MATLAB Simulations for Sliding Mode Variable Structure Control (3rd Edition) - Fundamental Theories and Design Methods

Resource Overview

This book systematically introduces the fundamental theories, basic methods, and application techniques of sliding mode variable structure control from a MATLAB simulation perspective. It represents the culmination of the author's years of teaching and research in control systems, incorporating recent advancements from domestic and international peers. The third edition builds upon the second edition with additional content, covering 12 comprehensive chapters including: sliding mode control development overview, continuous system sliding mode control, adaptive robust sliding mode control, sliding mode control based on disturbance and output measurement delay observers, backstepping and dynamic surface sliding mode control, sliding mode control using filters and state observers, fuzzy sliding mode control, neural sliding mode control, discrete system sliding mode control, LMI-based sliding mode control, and Terminal sliding mode control. Each control method includes MATLAB code implementations with detailed simulation analyses.

Detailed Documentation

This book systematically presents the fundamental theories, basic methods, and application technologies of sliding mode variable structure control through MATLAB simulations. Building on the author's extensive experience in control system teaching and research, it incorporates the latest achievements from both domestic and international researchers in the field, ensuring readers gain comprehensive knowledge of current advancements. The third edition has been revised from the second edition with additional content. The book is organized into 12 chapters covering: overview of sliding mode variable structure control development, continuous system sliding mode control, adaptive robust sliding mode control, sliding mode control based on disturbance and output measurement delay observers, backstepping and dynamic surface sliding mode control, sliding mode control using filters and state observers, fuzzy sliding mode control, neural sliding mode control, discrete system sliding mode control, LMI-based sliding mode control, and Terminal sliding mode control. Each control method is accompanied by MATLAB code implementations featuring complete simulation analyses that demonstrate practical algorithm applications and system performance evaluations. Although the chapters are interconnected, they remain relatively independent, allowing readers to select content based on their specific needs. This book is suitable for engineering professionals working in process automation, computer applications, mechatronics, and electrical automation fields. It also serves as an excellent reference textbook for university students specializing in industrial automation, automatic control, mechatronics, automation instrumentation, and computer applications. With its comprehensive coverage and practical MATLAB implementation examples, the book provides significant reference value for both control theory research and control engineering applications.