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Volumn 37, Issue 8, 2001, Pages 1149-1160

Neural network adaptive robust control of nonlinear systems in semi-strict feedback form

Author keywords

Adaptive control; Function approximation; Neural networks; Nonlinear systems; Robust control; Uncertainty

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; APPROXIMATION THEORY; COMPUTER AIDED ANALYSIS; CONTROL SYSTEM SYNTHESIS; FEEDBACK CONTROL; NEURAL NETWORKS; ROBUSTNESS (CONTROL SYSTEMS);

EID: 0035427313     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0005-1098(01)00069-3     Document Type: Article
Times cited : (147)

References (30)
  • 2
    • 0031109405 scopus 로고    scopus 로고
    • Cmac neural networks for control of nonlinear dynamical systems: Structure, stability and passivity
    • (1997) Automatica , vol.33 , Issue.4 , pp. 635-641
    • Commuri, S.1    Lewis, F.L.2
  • 23
    • 0026897370 scopus 로고
    • Uniqueness of the weights for minimal feedforward nets with a given input-output map
    • (1992) Neural Networks , vol.5 , pp. 589-593
    • Sussmann, H.J.1
  • 27
    • 0031130404 scopus 로고    scopus 로고
    • Adaptive robust control of SISO nonlinear systems in a semi-strict feedback form
    • Part of the paper appeared in Proceedings of the 1995 American control conference (pp. 2500-2505)
    • (1997) Automatica , vol.33 , Issue.5 , pp. 893-900
    • Yao, B.1    Tomizuka, M.2
  • 28
    • 0035452369 scopus 로고    scopus 로고
    • Adaptive robust control of MIMO nonlinear systems in semi-strict feedback forms
    • in press. (Parts of the paper were presented in the 1995 IEEE conference on decision and control (pp. 2346-2351), and the 1996 IFAC world congress, vol. F (pp. 335-340)
    • (2001) Automatica
    • Yao, B.1    Tomizuka, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.