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

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.

ISAR Imaging with Practical Implementation Examples

Implementation of fundamental ISAR imaging functionality with MATLAB code examples, ideal for beginners to grasp core theories and for intermediate users to understand practical algorithm applications

Fundamental Theoretical Applications and Core Algorithms of Artificial Immune Systems

Simulation and Implementation of Basic Theories and Core Algorithms in Artificial Immune Systems

MATLAB Simulation for Sliding Mode Variable Structure Control

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.