MARC表示: Nonlinear control with linearized models and neural networks

Nonlinear control with linearized models and neural networks

A nonlinear control strategy involving a geometric feedback controller and adaptive approximation of the plant is presented. The plant is approximated by a linearized model and a neural network which approximates the higher order error terms. Online adaptation of the network is performed using steep...

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主要な著者:	Hussain, Mohd Azlan, Allwright, J.C., Kershenbaum, L.S.
フォーマット:	Conference or Workshop Item
出版事項:	IEE 1995
主題:	TA Engineering (General). Civil engineering (General) TP Chemical technology
オンライン･アクセス:	http://eprints.um.edu.my/7099/ http://www.scopus.com/inward/record.url?eid=2-s2.0-0029210291&partnerID=40&md5=8d9eba3baeeb805273478758fdb0a9b1
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id	my.um.eprints.7099
record_format	eprints
spelling	my.um.eprints.70992021-02-10T03:15:53Z http://eprints.um.edu.my/7099/ Nonlinear control with linearized models and neural networks Hussain, Mohd Azlan Allwright, J.C. Kershenbaum, L.S. TA Engineering (General). Civil engineering (General) TP Chemical technology A nonlinear control strategy involving a geometric feedback controller and adaptive approximation of the plant is presented. The plant is approximated by a linearized model and a neural network which approximates the higher order error terms. Online adaptation of the network is performed using steepest descent with a dead zone function. The proposed strategy is applied to two case studies for output tracking of set points. The results show good tracking comparable with utilizing the actual model of the plant (usually unknown) and better than that obtained when using the linearized model alone. IEE 1995 Conference or Workshop Item PeerReviewed Hussain, Mohd Azlan and Allwright, J.C. and Kershenbaum, L.S. (1995) Nonlinear control with linearized models and neural networks. In: Proceedings of the 4th International Conference on Artificial Neural Networks, 1995, Cambridge, United Kingdom. http://www.scopus.com/inward/record.url?eid=2-s2.0-0029210291&partnerID=40&md5=8d9eba3baeeb805273478758fdb0a9b1
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
topic	TA Engineering (General). Civil engineering (General) TP Chemical technology
spellingShingle	TA Engineering (General). Civil engineering (General) TP Chemical technology Hussain, Mohd Azlan Allwright, J.C. Kershenbaum, L.S. Nonlinear control with linearized models and neural networks
description	A nonlinear control strategy involving a geometric feedback controller and adaptive approximation of the plant is presented. The plant is approximated by a linearized model and a neural network which approximates the higher order error terms. Online adaptation of the network is performed using steepest descent with a dead zone function. The proposed strategy is applied to two case studies for output tracking of set points. The results show good tracking comparable with utilizing the actual model of the plant (usually unknown) and better than that obtained when using the linearized model alone.
format	Conference or Workshop Item
author	Hussain, Mohd Azlan Allwright, J.C. Kershenbaum, L.S.
author_facet	Hussain, Mohd Azlan Allwright, J.C. Kershenbaum, L.S.
author_sort	Hussain, Mohd Azlan
title	Nonlinear control with linearized models and neural networks
title_short	Nonlinear control with linearized models and neural networks
title_full	Nonlinear control with linearized models and neural networks
title_fullStr	Nonlinear control with linearized models and neural networks
title_full_unstemmed	Nonlinear control with linearized models and neural networks
title_sort	nonlinear control with linearized models and neural networks
publisher	IEE
publishDate	1995
url	http://eprints.um.edu.my/7099/ http://www.scopus.com/inward/record.url?eid=2-s2.0-0029210291&partnerID=40&md5=8d9eba3baeeb805273478758fdb0a9b1
_version_	1691733425484988416
score	13.251813

Nonlinear control with linearized models and neural networks

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