Fuzzy Model Identification & Control of Non-Linear Systems - Softcover

Gupta, Sunil; Tushir, Meena

 
9783659851148: Fuzzy Model Identification & Control of Non-Linear Systems
Softcover
ISBN 10: 3659851140 ISBN 13: 9783659851148
Verlag: LAP LAMBERT Academic Publishing, 2016

Inhaltsangabe

This book presents a research work towards the Identification and Control of Non-Linear Systems based on Fuzzy Models approach. A TS fuzzy model has been implemented successfully to a known benchmark problem of the identification of non-linear plant data. FCM Clustering based approach has been used for the classification of input –output data points. After clustering gradient descent method is used for the learning of parameters. It has also been implemented on a real data problem which is a model of an operator’s control of a chemical plant and the accuracy was comparable to the results reported in the literature. The entire system has been modeled using MATLAB 7.0/Simulink toolbox.

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Reseña del editor

This book presents a research work towards the Identification and Control of Non-Linear Systems based on Fuzzy Models approach. A TS fuzzy model has been implemented successfully to a known benchmark problem of the identification of non-linear plant data. FCM Clustering based approach has been used for the classification of input –output data points. After clustering gradient descent method is used for the learning of parameters. It has also been implemented on a real data problem which is a model of an operator’s control of a chemical plant and the accuracy was comparable to the results reported in the literature. The entire system has been modeled using MATLAB 7.0/Simulink toolbox.

Biografía del autor

Mr.Sunil Gupta is working as a Reader in Maharaja Surajmal Institute of Technology,(GGSIP University), Janak Puri, New Delhi. He is pursuing Ph.D. degree in Electrical Engineering at Jamia Millia Islamia (A Central University), New Delhi, India. His research interest includes IEC 61850 based utility automation and smart grid.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2016
Sprache
Englisch
ISBN 10 
3659851140
ISBN 13 
9783659851148
Einband
Tapa blanda
Anzahl der Seiten
64
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