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Volumn 19, Issue 5, 2000, Pages 511-525

Discrete-time Lyapunov design for neuroadaptive control of elastic-joint robots

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; FEEDBACK CONTROL; LYAPUNOV METHODS; NEURAL NETWORKS; ONLINE SYSTEMS;

EID: 0034179902     PISSN: 02783649     EISSN: None     Source Type: Journal    
DOI: 10.1177/02783640022067003     Document Type: Article
Times cited : (13)

References (21)
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  • 2
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    • Data storage in the cerebellar model articulation controller (CMAC)
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  • 6
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    • CMAC neural networks for control of nonlinear dynamical systems: Structure, stability, and passivity
    • Commuri, S., and Lewis, F. L. 1997. CMAC neural networks for control of nonlinear dynamical systems: Structure, stability, and passivity. Automatica 33(4):635-641.
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    • Commuri, S.1    Lewis, F.L.2
  • 8
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    • A discrete-time adaptive nonlinear system
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  • 10
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    • Robust neural network control of flexible-joint robots
    • New Orleans
    • Kwan, C. M., Lewis, F. L., and Kim, Y. H. 1995. Robust neural network control of flexible-joint robots. Proc. 34th Conf. Decision and Control, New Orleans, pp. 1296-1301.
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    • Kwan, C.M.1    Lewis, F.L.2    Kim, Y.H.3
  • 11
    • 0031640829 scopus 로고    scopus 로고
    • Stable, online learning using CMACs for neuroadaptive tracking control of flexible-joint manipulators
    • Leuven, Belgium
    • Macnab, C.J.B, and D'Eleuterio, G.M.T. 1998. Stable, online learning using CMACs for neuroadaptive tracking control of flexible-joint manipulators. Proc. IEEE Int. Conf. Robotics and Automation, Leuven, Belgium.
    • (1998) Proc. IEEE Int. Conf. Robotics and Automation
    • Macnab, C.J.B.1    D'Eleuterio, G.M.T.2
  • 12
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.