Absolute exponential stability of recurrent neural networks with Lipschitz-continuous activation functions and time delays

Neural Networks

Volumn 17, Issue 3, 2004, Pages 379-390

  Cao, Jinde ^a   Wang, Jun ^b  

^a SOUTHEAST UNIVERSITY   (China)

^b CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Absolute exponential stability; Additive diagonal stability; Delay Halanay type inequality; Delayed neural networks; Partial Lipschitz continuity

Indexed keywords

FUNCTIONS; LYAPUNOV METHODS; OPTIMIZATION; SYSTEM STABILITY;

EXPONENTIAL STABILITY;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; PRIORITY JOURNAL; TIME;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; HUMANS; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; TIME FACTORS;

EID: 1642287604     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2003.08.007     Document Type: Article

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