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Volumn 36, Issue 2, 2000, Pages 229-241

Adaptive fuzzy logic control of discrete-time dynamical systems

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; CLOSED LOOP CONTROL SYSTEMS; CONTROL SYSTEM SYNTHESIS; DIGITAL COMPUTERS; DISCRETE TIME CONTROL SYSTEMS; FUZZY CONTROL; FUZZY SETS; NONLINEAR SYSTEMS; PARAMETER ESTIMATION; SYSTEM STABILITY; VECTORS;

EID: 0034140767     PISSN: 00051098     EISSN: None     Source Type: None    
DOI: 10.1016/S0005-1098(99)00143-0     Document Type: Article
Times cited : (67)

References (16)
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    • Jagannathan, S.1    Lewis, F.L.2
  • 6
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    • Fuzzy systems as universal approximators
    • Kosko, B. (1994). Fuzzy systems as universal approximators. IEEE Transactions on Computers, 43(11), 1329-1333.
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    • Kosko, B.1
  • 7
    • 0026405960 scopus 로고
    • Analysis of stability of a class of fuzzy linguistic controllers with internal dynamics
    • Paper 91-WA-DSC-13, December
    • Langari, R., & Tomizuka, M. (1991). Analysis of stability of a class of fuzzy linguistic controllers with internal dynamics. Proceedings of ASME winter annual meeting, Paper 91-WA-DSC-13, December.
    • (1991) Proceedings of ASME Winter Annual Meeting
    • Langari, R.1    Tomizuka, M.2
  • 8
    • 0030085655 scopus 로고    scopus 로고
    • Toward a paradigm for fuzzy logic control
    • Lewis, F. L., & Liu, K. (1996). Toward a paradigm for fuzzy logic control. Automatica, 32(2), 167-181.
    • (1996) Automatica , vol.32 , Issue.2 , pp. 167-181
    • Lewis, F.L.1    Liu, K.2
  • 10
    • 0023288277 scopus 로고
    • A new adaptive law for robust adaptation without persistent excitation
    • Narendra, K. S., & Annaswamy, A. M. (1987). A new adaptive law for robust adaptation without persistent excitation. IEEE Transactions on Automatic Control, AC-32(2), 134-145.
    • (1987) IEEE Transactions on Automatic Control , vol.AC-32 , Issue.2 , pp. 134-145
    • Narendra, K.S.1    Annaswamy, A.M.2
  • 13
    • 0026928374 scopus 로고
    • Fuzzy basis functions, universal approximators, and orthogonal least-squares learning
    • Wang, L. -X., & Mendel, J. M. (1992). Fuzzy basis functions, universal approximators, and orthogonal least-squares learning. IEEE Transactions on Neural Networks, 3(5), 807-814.
    • (1992) IEEE Transactions on Neural Networks , vol.3 , Issue.5 , pp. 807-814
    • Wang, L.-X.1    Mendel, J.M.2
  • 15
    • 0028400629 scopus 로고
    • Sufficient conditions on general fuzzy systems as function approximators
    • Ying, H. (1994). Sufficient conditions on general fuzzy systems as function approximators. Automatica, 30(3), 521-525.
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    • Ying, H.1
  • 16
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    • Approximation theory of fuzzy systems - MIMO case
    • Zeng, X. -J., & Singh, M. G. (1995). Approximation theory of fuzzy systems - MIMO case. IEEE Transactions on Fuzzy Systems, 3(2), 219-235.
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    • Zeng, X.-J.1    Singh, M.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.