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Conference Paper: Stability analysis for dynamical neural network systems
Title | Stability analysis for dynamical neural network systems |
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Authors | |
Keywords | Computers Artificial intelligence |
Issue Date | 1994 |
Publisher | IEEE. |
Citation | Ieee International Conference On Neural Networks - Conference Proceedings, 1994, v. 2, p. 960-963 How to Cite? |
Abstract | In this paper, the small gain theorem will be used to establish a criterion for the stability of a feedback system containing a feedforward neural network. A method for the determination of the gain of a piecewise-linear feedforward neural network is introduced and applied to the stability analysis for a control system consisting of a LTI SISO system with a dynamic ANN controller. |
Persistent Identifier | http://hdl.handle.net/10722/46214 |
ISSN |
DC Field | Value | Language |
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dc.contributor.author | Lam, S | en_HK |
dc.contributor.author | Hung, YS | en_HK |
dc.date.accessioned | 2007-10-30T06:44:57Z | - |
dc.date.available | 2007-10-30T06:44:57Z | - |
dc.date.issued | 1994 | en_HK |
dc.identifier.citation | Ieee International Conference On Neural Networks - Conference Proceedings, 1994, v. 2, p. 960-963 | en_HK |
dc.identifier.issn | 1098-7576 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/46214 | - |
dc.description.abstract | In this paper, the small gain theorem will be used to establish a criterion for the stability of a feedback system containing a feedforward neural network. A method for the determination of the gain of a piecewise-linear feedforward neural network is introduced and applied to the stability analysis for a control system consisting of a LTI SISO system with a dynamic ANN controller. | en_HK |
dc.format.extent | 299001 bytes | - |
dc.format.extent | 3891 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.format.mimetype | text/plain | - |
dc.language | eng | en_HK |
dc.publisher | IEEE. | en_HK |
dc.relation.ispartof | IEEE International Conference on Neural Networks - Conference Proceedings | en_HK |
dc.rights | ©1994 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | - |
dc.subject | Computers | en_HK |
dc.subject | Artificial intelligence | en_HK |
dc.title | Stability analysis for dynamical neural network systems | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1098-7576&volume=2&spage=960&epage=963&date=1994&atitle=Stability+analysis+for+dynamical+neural+network+systems | en_HK |
dc.identifier.email | Hung, YS:yshung@eee.hku.hk | en_HK |
dc.identifier.authority | Hung, YS=rp00220 | en_HK |
dc.description.nature | published_or_final_version | en_HK |
dc.identifier.doi | 10.1109/ICNN.1994.374311 | en_HK |
dc.identifier.scopus | eid_2-s2.0-0028743336 | en_HK |
dc.identifier.hkuros | 5501 | - |
dc.identifier.volume | 2 | en_HK |
dc.identifier.spage | 960 | en_HK |
dc.identifier.epage | 963 | en_HK |
dc.identifier.scopusauthorid | Lam, S=7402279658 | en_HK |
dc.identifier.scopusauthorid | Hung, YS=8091656200 | en_HK |
dc.identifier.issnl | 1098-7576 | - |