Fuzzy Model Identification & Control of Non-Linear Systems

Sunil Gupta

ISBN 10: 3659851140 / ISBN 13: 9783659851148

Published by LAP LAMBERT Academic Publishing Feb 2016, 2016

About this Item

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.

Seller Inventory # 9783659851148

Bibliographic Details

• Title: Fuzzy Model Identification & Control of Non-Linear Systems
• Publisher: LAP LAMBERT Academic Publishing Feb 2016
• Publication Date: 2016
• Language: English
• ISBN 10: 3659851140
• ISBN 13: 9783659851148
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 4D millimeters 220 millimeters width by 150 millimeters height by 4 millimeters depth
• Weight: 113 grams

About this title

Synopsis

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.

About the Author

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.