MATLAB Simulation of Sliding Mode Variable Structure Control

This book systematically introduces the fundamental theories, methodologies, and application techniques of sliding mode variable structure control through MATLAB simulations, representing the culmination of the author's extensive teaching and research experience in control systems while incorporating recent advancements from global peers.

The 10-chapter organization covers: historical development of sliding mode control, continuous-time system implementations using state-space modeling, discrete-time system applications with sampling techniques, fuzzy logic integrations through membership functions, neural network combinations via backpropagation algorithms, backstepping-based designs with Lyapunov stability proofs, dynamic sliding mode control using higher-order derivatives, disturbance estimation methods employing observers, Terminal sliding mode control for finite-time convergence, and several novel sliding mode approaches. Each methodology includes MATLAB code implementations demonstrating controller design, stability analysis, and performance verification through Simulink models and script-based simulations.

Each control method is thoroughly explained theoretically and validated through practical MATLAB simulations, enabling readers to better understand and master control system fundamentals. The simulations typically involve sliding surface design, reaching law implementation, chattering reduction techniques, and stability proof verification. Chapter-end case studies and exercises further facilitate deep learning and practical application. This resource suits control engineers, graduate/undergraduate students, and serves as an ideal textbook for control systems courses, with code examples covering both basic S-function programming and advanced control toolbox applications.