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Neural Computation

May 2009, Vol. 21, No. 5, Pages 1434-1458
(doi: 10.1162/neco.2008.04-08-744)
© 2008 Massachusetts Institute of Technology
Analysis of Complete Stability for Discrete-Time Cellular Neural Networks with Piecewise Linear Output Functions
Article PDF (163.28 KB)
Abstract

This letter discusses the complete stability of discrete-time cellular neural networks with piecewise linear output functions. Under the assumption of certain symmetry on the feedback matrix, a sufficient condition of complete stability is derived by finite trajectory length. Because the symmetric conditions are not robust, the complete stability of networks may be lost under sufficiently small perturbations. The robust conditions of complete stability are also given for discrete-time cellular neural networks with multiple equilibrium points and a unique equilibrium point. These complete stability results are robust and available.