Observer design for switched recurrent neural networks: An average dwell time approach

IEEE Transactions on Neural Networks

Volumn 22, Issue 10, 2011, Pages 1547-1556

  Lian, Jie ^a   Feng, Zhi ^a   Shi, Peng ^b,c,d  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

^b UNIVERSITY OF GLAMORGAN   (United Kingdom)

^c VICTORIA UNIVERSITY   (Australia)

^d UNIVERSITY OF SOUTH AUSTRALIA   (Australia)

Author keywords

Average dwell time method; exponential stability; observer design; switched neural networks; time varying delay

Indexed keywords

AVERAGE DWELL TIME; AVERAGE DWELL-TIME APPROACH; DECAY ESTIMATE; DELAY-DEPENDENT; ERROR DYNAMICS; ERROR-STATE; FREE-WEIGHTING MATRICES; FULL-ORDER OBSERVER; GLOBAL EXPONENTIAL STABILITY; ILLUSTRATIVE EXAMPLES; OBSERVER DESIGN; STABILITY ANALYSIS; SUFFICIENT CONDITIONS; TIME-VARYING DELAY;

ASYMPTOTIC STABILITY; DESIGN; LINEAR MATRIX INEQUALITIES; SWITCHING CIRCUITS; TIME VARYING CONTROL SYSTEMS; TIME VARYING NETWORKS;

RECURRENT NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; COMPUTER PROGRAM; HUMAN; METHODOLOGY; OBSERVATION; STATISTICAL MODEL; TIME; VALIDATION STUDY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; LINEAR MODELS; NEURAL NETWORKS (COMPUTER); OBSERVATION; SOFTWARE DESIGN; SOFTWARE VALIDATION; TIME FACTORS;

EID: 80053624322     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2011.2162111     Document Type: Article

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