MATLAB Simulation for Sliding Mode Variable Structure Control

Resource Overview

This book provides systematic MATLAB simulation-based introduction to sliding mode variable structure control theory, methodologies, and application techniques. It incorporates the author's years of teaching and research experience along with recent advancements from domestic and international peers. The 10-chapter content covers sliding mode control development overview, continuous/discrete-time system control, fuzzy/neural sliding mode control, backstepping-based design, dynamic sliding mode control, disturbance estimation-based approaches, Terminal sliding mode, and novel variations. Each method includes MATLAB simulation code with detailed algorithm implementations using Control System Toolbox functions like `ss`, `step`, and custom switching function programming.

Detailed Documentation

This book presents original MATLAB simulation programs for sliding mode variable structure control, systematically introducing fundamental theories, methodologies, and application techniques from a simulation perspective while incorporating additional examples and case studies. The ten chapters cover: sliding mode control development overview, continuous-time system sliding mode control (implemented using ODE solvers like `ode45`), discrete-time system sliding mode control (featuring sample time handling), fuzzy sliding mode control (integrating Fuzzy Logic Toolbox), neural sliding mode control (utilizing Neural Network Toolbox), backstepping-based sliding mode control, dynamic sliding mode control, disturbance estimation-based sliding mode control (with observer design code), Terminal sliding mode control, and several novel sliding mode variations. Each method includes detailed analysis of advantages/disadvantages and application domains, supported by MATLAB simulation code containing customized switching functions, Lyapunov stability verification algorithms, and comprehensive result visualization through plots and performance metrics. The enhanced simulation analyses with additional results and graphical outputs enable deeper understanding of these control theories and their practical implementations. Suitable for control system researchers, engineers, and graduate students in related fields as a technical reference.