Discrete-time recurrent neural networks with time-varying delays: Exponential stability analysis

Physics Letters, Section A: General, Atomic and Solid State Physics

Volumn 362, Issue 5-6, 2007, Pages 480-488

  Liu, Yurong ^a   Wang, Zidong ^b   Serrano, Alan ^b   Liu, Xiaohui ^b  

^a YANGZHOU UNIVERSITY   (China)

^b BRUNEL UNIVERSITY   (United Kingdom)

Author keywords

Discrete recurrent neural networks; Exponential stability; Linear matrix inequality; Lyapunov Krasovskii functional; Time varying delays

Indexed keywords

ASYMPTOTIC STABILITY; CHEMICAL ACTIVATION; LINEAR MATRIX INEQUALITIES; LYAPUNOV FUNCTIONS; MATLAB; TIME DELAY; TIME VARYING CONTROL SYSTEMS; TIME VARYING NETWORKS;

ACTIVATION FUNCTIONS; DISCRETE TIME RECURRENT NEURAL NETWORK; GLOBALLY EXPONENTIALLY STABLE; LINEAR MATRIX INEQUALITY APPROACH; LIPSCHITZ CONDITIONS; LYAPUNOV-KRASOVSKII FUNCTIONALS; STABILITY CONDITION; TIME VARYING- DELAYS;

RECURRENT NEURAL NETWORKS;

EID: 33846401362     PISSN: 03759601     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.physleta.2006.10.073     Document Type: Article

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