Sinopsis
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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Fuzzy Model Identification & Control of Non-Linear Systems
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LAP LAMBERT Academic Publishing Feb 2016, 2016
ISBN 10: 3659851140
ISBN 13: 9783659851148
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 64 pp. Englisch. Nº de ref. del artículo: 9783659851148
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Fuzzy Model Identification & Control of Non-Linear Systems
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659851140
ISBN 13: 9783659851148
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gupta SunilMr.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 Univers. Nº de ref. del artículo: 158606010
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Fuzzy Model Identification & Control of Non-Linear Systems
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ISBN 10: 3659851140
ISBN 13: 9783659851148
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Paperback. Condición: Brand New. 64 pages. 8.66x5.91x0.15 inches. In Stock. Nº de ref. del artículo: 3659851140
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Fuzzy Model Identification & Control of Non-Linear Systems
Publicado por
LAP LAMBERT Academic Publishing Feb 2016, 2016
ISBN 10: 3659851140
ISBN 13: 9783659851148
Nuevo
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Taschenbuch. Condición: Neu. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 64 pp. Englisch. Nº de ref. del artículo: 9783659851148
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Fuzzy Model Identification & Control of Non-Linear Systems
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659851140
ISBN 13: 9783659851148
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783659851148
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Fuzzy Model Identification & Control of Non-Linear Systems
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ISBN 10: 3659851140
ISBN 13: 9783659851148
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Taschenbuch. Condición: Neu. Fuzzy Model Identification & Control of Non-Linear Systems | Sunil Gupta (u. a.) | Taschenbuch | 64 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659851148 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Nº de ref. del artículo: 103914437
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