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1. New results concerning the exponential stability of delayed neural networks with impulses

Author

Bai, Chuanzhi

Subjects
*ARTIFICIAL neural networks, *ARTIFICIAL intelligence, *TIME delay systems, *LYAPUNOV functions, *LYAPUNOV stability, *MEASURE theory, *MATHEMATICAL analysis
Abstract

Abstract: Employing the matrix measure approach and Lyapunov function, the author studies the global exponential stability of delayed neural networks with impulses in this paper. Some novel and sufficient conditions are given to guarantee the global exponential stability of the equilibrium point for such delayed neural networks with impulses. Finally, three examples are given to show the effectiveness of the results obtained here. [Copyright &y& Elsevier]

Published
2011
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