Intelligent control

Author: Li Shaoyuan and Wang Jingcheng
Publisher:
Publish Date: 2005-01-01
Features: According to the writing principles of this textbook series, this book systematically introduces the role of fuzzy reasoning, neural networks, and modern theories and methods in the modeling, control, and optimization of control systems in recent years. As an advancement of control theory and methods, this book emphasizes the significance of intelligent theories and methods in addressing complex control problems. It also presents various application examples of intelligent theories and methods in control systems. This book can serve as a textbook for senior undergraduate and graduate students, as well as a reference for engineering technicians in control science and engineering, computer control, systems engineering, electrical engineering, and related fields. According to the writing principles of this textbook series, this book systematically introduces the role of fuzzy reasoning, neural networks, and modern theories and methods in the modeling, control, and optimization of control systems in recent years. As an advancement of control theory and methods, this book emphasizes the significance of intelligent theories and methods in addressing complex control problems. It also presents various application examples of intelligent theories and methods in control systems. This book can serve as a textbook for senior undergraduate and graduate students, as well as a reference for engineering technicians in control science and engineering, computer control, systems engineering, electrical engineering, and related fields.

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