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Volumn 37, Issue 1, 2003, Pages 19-23

Stability analysis of a class of discrete-time recurrent neural networks: An LMI approach

Author keywords

LDI; LMI; RMLP; State space extension method

Indexed keywords

DISCRETE TIME CONTROL SYSTEMS; LYAPUNOV METHODS; STABILITY; STATE SPACE METHODS;

EID: 0038167471     PISSN: 1008973X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (4)

References (6)
  • 2
    • 0032203999 scopus 로고    scopus 로고
    • A signal processing framework based on dynamic neural networks with application to problems in adaptation, filtering and classification
    • FELDKAMP L A, PUSKORIUS G V. A signal processing framework based on dynamic neural networks with application to problems in adaptation, filtering and classification [J]. Proc of the IEEE, 1998, 86(11): 2259-2277.
    • (1998) Proc. of the IEEE , vol.86 , Issue.11 , pp. 2259-2277
    • Feldkamp, L.A.1    Puskorius, G.V.2
  • 3
    • 0030142029 scopus 로고    scopus 로고
    • An approach to stability criteria of neural network control systems
    • TANAKA K. An approach to stability criteria of neural network control systems [J]. IEEE Trans on Neural Networks, 1996, 7(3): 629-642.
    • (1996) IEEE Trans. on Neural Networks , vol.7 , Issue.3 , pp. 629-642
    • Tanaka, K.1
  • 6
    • 0037569828 scopus 로고    scopus 로고
    • Global stability analysis for discrete-time nonlinear systems
    • Philadelphia, Pennsylvania: American Automatic Control Council
    • RIOS-PATRON E, BRAATZ R D. Global stability analysis for discrete-time nonlinear systems [A]. Proceedings of the American Control Conference I [C]. Philadelphia, Pennsylvania: American Automatic Control Council, 1998. 338-342.
    • (1998) Proceedings of the American Control Conference I , pp. 338-342
    • Rios-Patron, E.1    Braatz, R.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.