Authors:
- Presents various intelligent controller design examples in motion control applications
- Addresses typical intelligent controller stability analysis
- Offers practical engineering design examples and Matlab programs to accompany each intelligent control algorithm
- Uses MATLAB language to simulate several control system examples
- Includes supplementary material: sn.pub/extras
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Table of contents (12 chapters)
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Front Matter
About this book
This book offers a comprehensive introduction to intelligent control system design, using MATLAB simulation to verify typical intelligent controller designs. It also uses real-world case studies that present the results of intelligent controller implementations to illustrate the successful application of the theory. Addressing the need for systematic design approaches to intelligent control system design using neural network and fuzzy-based techniques, the book introduces the concrete design method and MATLAB simulation of intelligent control strategies; offers a catalog of implementable intelligent control design methods for engineering applications; provides advanced intelligent controller design methods and their stability analysis methods; and presents a sample simulation and Matlab program for each intelligent control algorithm.
The main topics addressed are expert control, fuzzy logic control, adaptive fuzzy control, neural network control, adaptive neural control and
intelligent optimization algorithms, providing several engineering application examples for each method.Reviews
Authors and Affiliations
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Beihang University, Beijing, China
Jinkun Liu
About the author
LIU Jinkun received his BS, MS and PhD degrees from Northeastern University, Shenyang, China, in 1989, 1994 and 1997, respectively. He was a postdoctoral fellow at Zhejiang University from 1997 to 1999, and is currently a professor at Beihang University, China. He has published more than 100 research papers and eight books. His research interests include intelligent control and sliding mode control; partial differential equation (PDE) modeling and boundary control and application areas in motion control, such as flight control and robotic control, especially for under-actuated systems.
Bibliographic Information
Book Title: Intelligent Control Design and MATLAB Simulation
Authors: Jinkun Liu
DOI: https://doi.org/10.1007/978-981-10-5263-7
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Tsinghua University Press, Beijing and Springer Nature Singapore Pte Ltd. 2018
Hardcover ISBN: 978-981-10-5262-0Published: 03 October 2017
Softcover ISBN: 978-981-13-5354-3Published: 23 December 2018
eBook ISBN: 978-981-10-5263-7Published: 20 September 2017
Edition Number: 1
Number of Pages: XV, 290
Number of Illustrations: 42 b/w illustrations, 95 illustrations in colour
Additional Information: Jointly published with Tsinghua University Press, Beijing, China
Topics: Control, Robotics, Mechatronics, Simulation and Modeling, Industrial and Production Engineering, Engineering Design