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Intelligent Control Design and MATLAB Simulation
Buch von Jinkun Liu
Sprache: Englisch

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Beschreibung
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.
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.
Über den Autor

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.

Zusammenfassung

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

Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2017
Fachbereich: Nachrichtentechnik
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 308
Inhalt: xv
290 S.
42 s/w Illustr.
95 farbige Illustr.
290 p. 137 illus.
95 illus. in color.
ISBN-13: 9789811052620
ISBN-10: 981105262X
Sprache: Englisch
Herstellernummer: 978-981-10-5262-0
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Liu, Jinkun
Auflage: 1st ed. 2018
Hersteller: Springer Singapore
Springer Nature Singapore
Maße: 241 x 160 x 23 mm
Von/Mit: Jinkun Liu
Erscheinungsdatum: 03.10.2017
Gewicht: 0,629 kg
preigu-id: 110008426
Über den Autor

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.

Zusammenfassung

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

Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2017
Fachbereich: Nachrichtentechnik
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 308
Inhalt: xv
290 S.
42 s/w Illustr.
95 farbige Illustr.
290 p. 137 illus.
95 illus. in color.
ISBN-13: 9789811052620
ISBN-10: 981105262X
Sprache: Englisch
Herstellernummer: 978-981-10-5262-0
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Liu, Jinkun
Auflage: 1st ed. 2018
Hersteller: Springer Singapore
Springer Nature Singapore
Maße: 241 x 160 x 23 mm
Von/Mit: Jinkun Liu
Erscheinungsdatum: 03.10.2017
Gewicht: 0,629 kg
preigu-id: 110008426
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