STRUCTURAL STABILIZATION OF ONE CONTINUOUS NEURAL NETWORK WITH CHAOTIC BEHAVIOUR

摘要

In this paper we consider a Hopfield-typerncontinuous neural network with feedbacks when the networkrndemonstrates chaotic behaviour. In some applications suchrnbehaviour is considered as a serious nuisance and particularrnprecautions need to be taken in the design of circuits tornsuppress it or its effects. We suggest a new method forrnthe stabilization of such networks by changing the structurernof the initial system and introducing some new crossconnectionsrnin the network. As a result of this structuralrnstabilization we receive a system with a unique and stablernequilibrium point. Such a type of stabilization can be veryrninteresting for some technical applications. For example, itrncan be applied for the solution of the optimization problemsrnwith variable parameters arising in signal processing or inrnindustrial control when it is required that the network haverna unique stable equilibrium point.