Fuzzy control · Neural control and intelligent control theory

Author: Li Shiyong (Compiler)
Publisher:
Publish Date: 1998-09-01
Features: This book is oriented towards the forefront of intelligent control in the 21st century, with the main theme being the simulation of intelligence using microcomputers to achieve intelligent control. It comprehensively, systematically, and deeply introduces the theories, methods, system design, and implementation techniques of fuzzy control, neural control, and intelligent control from the perspective of intelligent control theory. It highlights the recent research achievements of the author in this field and integrates the latest research findings from both domestic and international sources, along with a large number of application examples. The book is divided into four parts.
Part 1: New Foundations of Intelligent Control: Thought Science, Intelligent Simulation, Fuzzy Logic, Rough Sets, Neural Networks, Genetic Algorithms, Artificial Life, Chaos Theory, and Ant Colony Theory;
Part 2: Knowledge Engineering and Information Science Foundations of Intelligent Control;
Part 3: Theories and System Design of Intelligent Control: Multi-level Hierarchical Intelligent Control, Expert Control, Fuzzy Control, Neural Control, Human-like Intelligent Control, Pattern Recognition-Based Intelligent Control, Multi-Model Variable Structure Intelligent Control, Learning Control, Chaos Control, and Extension Control;
Part 4: 20 Detailed and Novel Application Examples of Fuzzy Control, Neural Control, and Intelligent Control in Industrial Processes, Mobile Tools, Robots, and Home Appliances.
This book covers multiple cutting-edge disciplines, draws from a wide range of sources, presents original and well-thought-out content, and is structured rigorously. It is both accessible and thought-provoking, bridging theory with practice. It meets the needs of various disciplines and different levels of teaching and research personnel. It can serve as a textbook for senior undergraduate, master's, and doctoral students in related fields such as automatic control, automation, electronic engineering, mechatronics engineering, aerospace engineering, robotics, and computer applications at universities. It also holds significant reference value for postdoctoral researchers, international students, and.
Content Summary: This book is oriented towards the forefront of intelligent control in the 21st century, with the main theme being the simulation of intelligence using microcomputers to achieve intelligent control. It comprehensively, systematically, and deeply introduces the theories, methods, system design, and implementation techniques of fuzzy control, neural control, and intelligent control from the perspective of intelligent control theory. It highlights the recent research achievements of the author in this field and integrates the latest research findings from both domestic and international sources, along with a large number of application examples. The book is divided into four parts.
Part 1: New Foundations of Intelligent Control: Thought Science, Intelligent Simulation, Fuzzy Logic, Rough Sets, Neural Networks, Genetic Algorithms, Artificial Life, Chaos Theory, and Ant Colony Theory;
Part 2: Knowledge Engineering and Information Science Foundations of Intelligent Control;
Part 3: Theories and System Design of Intelligent Control: Multi-level Hierarchical Intelligent Control, Expert Control, Fuzzy Control, Neural Control, Human-like Intelligent Control, Pattern Recognition-Based Intelligent Control, Multi-Model Variable Structure Intelligent Control, Learning Control, Chaos Control, and Extension Control;
Part 4: 20 Detailed and Novel Application Examples of Fuzzy Control, Neural Control, and Intelligent Control in Industrial Processes, Mobile Tools, Robots, and Home Appliances.
This book covers multiple cutting-edge disciplines, draws from a wide range of sources, presents original and well-thought-out content, and is structured rigorously. It is both accessible and thought-provoking, bridging theory with practice. It meets the needs of various disciplines and different levels of teaching and research personnel. It can serve as a textbook for senior undergraduate, master's, and doctoral students in related fields such as automatic control, automation, electronic engineering, mechatronics engineering, aerospace engineering, robotics, and computer applications at universities. It also holds significant reference value for postdoctoral researchers, international students, and.