Stability Analysis of Fuzzy Elman Neural Network

L.F. Araghi, A.M. Nasrabadi, and F. Setoudeh (Iran)

Keywords

stability, elman neural network, Schur stable, linear matrix inequalities

Abstract

In this paper, a necessary and sufficient condition is derived for the existence of a common Quadratic Lyapunov function for Stability Analysis of Fuzzy Elman Neural Network using linear matrix inequalities. This paper proves that the necessary condition for the existence of a CQLF is that all discrete-time subsystems are Schur stable.

Important Links:

• DOI:
• From Proceeding (628) Artificial Intelligence and Soft Computing - 2008

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