Intelligent Control Design and MATLAB Simulation

Jinkun Liu (Autor)

Buch | Hardcover

290 Seiten

2017 | 1st ed. 2018
Springer Verlag, Singapore
978-981-10-5262-0 (ISBN)

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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.

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.

Introduction.- Expert control.- Mathmatic foundation of fuzzy control.- Fuzzy logic control.- Adaptive fuzzy control.- Neural Network.- Typical Neural Network.- Senior Neural Network.- Neural network control with gradient descend.- Adaptive neural network control.- Digital RBF Neural Network Control.- Intelligent optimization algorithms.- Iterative learning control.

Erscheinungsdatum	14.10.2017
Zusatzinfo	95 Illustrations, color; 42 Illustrations, black and white; XV, 290 p. 137 illus., 95 illus. in color.
Verlagsort	Singapore
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Grafik / Design ► Digitale Bildverarbeitung
	Mathematik / Informatik ► Informatik ► Theorie / Studium
	Technik ► Elektrotechnik / Energietechnik
	Technik ► Maschinenbau
Schlagworte	Expert Control • Fuzzy adaptive control • fuzzy logic control • Intelligent Optimization Algorithms • Neural Adaptive Control
ISBN-10	981-10-5262-X / 981105262X
ISBN-13	978-981-10-5262-0 / 9789811052620
Zustand	Neuware