Global robust exponential stability analysis for interval recurrent neural networks

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

Volumn 325, Issue 2, 2004, Pages 124-133

  Xu, Shengyuan ^a   Lam, James ^b   Ho, Daniel W C ^c   Zou, Yun ^a  

^a NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b UNIVERSITY OF HONG KONG   (Hong Kong)

^c CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Global exponential stability; Interval systems; Linear matrix inequality; Recurrent neural networks

Indexed keywords

CONVEX OPTIMIZATION; LINEAR MATRIX INEQUALITIES; ROBUSTNESS (CONTROL SYSTEMS); STABILITY; UNCERTAINTY ANALYSIS;

CONVEX OPTIMIZATION ALGORITHMS; EQUILIBRIUM POINT; GLOBAL EXPONENTIAL STABILITY; GLOBAL ROBUST EXPONENTIAL STABILITIES; INTERVAL SYSTEMS; LINEAR MATRIX INEQUALITY APPROACH; RECURRENT NEURAL NETWORK (RNNS); UNCERTAIN PARAMETERS;

RECURRENT NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; LINEAR SYSTEM; STATISTICAL ANALYSIS;

EID: 1942443174     PISSN: 03759601     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.physleta.2004.03.038     Document Type: Article

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