Intelligent Control Theory and Application

Author: Cheng Wushan
Publisher:
Publish Date: 2006-11-01
Features: This book systematically introduces intelligent control techniques such as fuzzy reasoning, neural networks, genetic algorithms, and expert systems, starting from the basic concepts, working principles, and the essence of control and optimization. As an extension of control theory and methods, it establishes hierarchical intelligent control systems based on complex systems by utilizing data fusion technology and modern intelligent control techniques, while also presenting practical applications of intelligent control theory in complex control systems. The book is divided into 7 chapters. The first 6 chapters systematically discuss the fundamental principles and methods of artificial intelligence control, including the basic concepts and development status of artificial intelligence, information fusion and hierarchical control methods, the foundational knowledge of fuzzy theory and the implementation of fuzzy control methods, the concepts, types, and algorithms of neural networks, the auxiliary optimization of genetic algorithms, and the basic principles and establishment steps of expert systems. The 7th chapter focuses on examples, providing a detailed introduction to the application of artificial intelligence technology in complex industrial processes. This book can serve as a course textbook for postgraduate students and senior undergraduate students in universities, as well as a reference for engineering technicians in control science and engineering, computer control, systems engineering, electrical engineering, and related fields.