NEURAL NETWORK BASED ADAPTIVE CONTROL OF NONLINEAR SYSTEMS

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DC Field	Value	Language
dc.contributor.author	Negash, Dereje Shiferaw	-
dc.date.accessioned	2014-12-01T08:22:09Z	-
dc.date.available	2014-12-01T08:22:09Z	-
dc.date.issued	2002	-
dc.identifier	M.Tech	en_US
dc.identifier.uri	http://hdl.handle.net/123456789/12536	-
dc.guide	Mitra, R.	-
dc.description.abstract	Multi layer neural networks are now widely used for nonlinear function estimations. This property can be used to estimate the states of a nonlinear system and approximate the system dynamics without using model or knowledge of the dynamics of the plant. In this paper, we implemented three layer, feedforward neural network to estimate the dynamics of a nonlinear system, inverted pendulum and use it as a ieedfurwad compensator. The stability and performance of the neural. network based adaptive controller is discussed and simulation results are given	en_US
dc.language.iso	en	en_US
dc.subject	ELECTRONICS AND COMPUTER ENGINEERING	en_US
dc.subject	NEURAL NETWORK	en_US
dc.subject	NONLINEAR SYSTEMS	en_US
dc.subject	ADAPTIVE	en_US
dc.title	NEURAL NETWORK BASED ADAPTIVE CONTROL OF NONLINEAR SYSTEMS	en_US
dc.type	M.Tech Dessertation	en_US
dc.accession.number	G110721	en_US
Appears in Collections:	MASTERS' THESES (E & C)

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