Control of systems with repeated scalar nonlinearities
A class of discrete-time nonlinear systems is studied which is described by a standard linear state-equation except that each state-component is subject to an identical odd 1-Lipschitz nonlinearity. This may represent a class of recurrent neural networks. The emphasis is on the development of an app...
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University of Cambridge
1996
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.597669 |