Advanced PID Control and MATLAB Simulation

Resource Overview

Advanced PID Control and MATLAB Simulation (Textbook with Related Programs) by Liu Jinkun, published by Electronic Industry Press. This book systematically introduces fundamental PID control theories, methodologies, and application techniques from MATLAB simulation perspectives, incorporating the author's years of teaching and research experience alongside recent advancements from domestic and international peers. The ten-chapter work covers PID control for continuous and discrete systems, common digital PID techniques, expert and fuzzy PID control, neural PID control, genetic algorithm-based PID, multivariable decoupling PID, and cutting-edge approaches like grey PID control.

Detailed Documentation

Advanced PID Control and MATLAB Simulation (Textbook with Related Programs) by Liu Jinkun, published by Electronic Industry Press - Content Introduction

This book systematically introduces fundamental PID control theories, methodologies, and application techniques through MATLAB simulation perspectives. It begins with PID control for continuous and discrete systems, along with commonly used digital PID control methods featuring implementations of positional and incremental algorithms. The book then progresses to advanced control strategies including expert PID and fuzzy PID control with rule-based implementations, neural PID control utilizing neural network adaptation, genetic algorithm PID control optimizing parameters through evolutionary computation, and multivariable decoupling PID control handling cross-coupled systems. Additionally, it explores cutting-edge approaches like grey PID control for uncertain systems. The final sections cover servo system PID control and real-time PID implementation. Each method is demonstrated through practical MATLAB simulation code with detailed algorithm explanations.

Organized into ten interconnected yet self-contained chapters, this book allows readers to selectively study based on their needs. It serves engineering professionals in process automation, computer applications, mechatronics, and electrical automation fields. The content also functions as a reference for university courses in industrial automation, control systems, mechatronics, automation instrumentation, and computer applications. Ultimately, this work represents the culmination of the author's extensive control system teaching and research experience, integrating recent innovations from global researchers in the field.