Can Perceptrons find Lyapunov's Functions?-An Algorithmic Approach to Systems Stability

Abstract

The stability of general systems has been a major topic of interest for control theorists and practitioners for many years-stability, of course, being a fundamental requirement of all control systems and indeed most systems if they are to serve any useful purpose. The recent resurgence of interest in self organizing or adaptive systems has therefore naturally led people to ask questions about the stability of artificial neural works, which are, for the systems theorist, simply non-linear dynamic systems....

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Item Type:	Monograph
Authors/Creators:	Banks, S.P. Harrison, R.F.
Copyright, Publisher and Additional Information:	The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances.
Dates:	Published: 6 June 1989
Institution:	The University of Sheffield
Academic Units:	The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) > ACSE Research Reports
Depositing User:	MRS ALISON THERESA BARNETT
Date Deposited:	20 Mar 2014 12:38
Last Modified:	25 Oct 2016 21:47
Status:	Published
Publisher:	Dept of Automatic Control and System Engineering. University of Sheffield
Series Name:	Acse Report 365
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:78204

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Can Perceptrons find Lyapunov's Functions?-An Algorithmic Approach to Systems Stability

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