Improved Delay-Dependent Stability Condition of Discrete Recurrent Neural Networks With Time-Varying Delays

This brief investigates the problem of global exponential stability analysis for discrete recurrent neural networks with time-varying delays. In terms of linear matrix inequality (LMI) approach, a novel delay-dependent stability criterion is established for the considered recurrent neural networks v...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2010-04, Vol.21 (4), p.692-697
Hauptverfasser:	Wu, Zhengguang, Su, Hongye, Chu, Jian, Zhou, Wuneng
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Artificial intelligence Computer science control theory systems Computer Simulation Connectionism. Neural networks Costs Criteria Delay Delay dependent Exact sciences and technology exponential stability Feedback Function approximation Humans Lattices linear matrix inequality (LMI) Linear Models Lyapunov functions Mathematical analysis Mathematical models Neural networks Neural Networks (Computer) Nonlinear Dynamics Optimal control Polynomials Recurrent neural networks Spline Stability Stability analysis Testing Time Factors time-varying delays
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