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Volumn , Issue , 2011, Pages 3047-3052

Finite-horizon input-constrained nonlinear optimal control using single network adaptive critics

Author keywords

[No Author keywords available]

Indexed keywords

ATTITUDE CONTROL; CONTROLLERS; COST FUNCTIONS; FEEDBACK; OPTIMAL SYSTEMS; REINFORCEMENT LEARNING;

EID: 80053166137     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/acc.2011.5991378     Document Type: Conference Paper
Times cited : (17)

References (16)
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    • Werbos, P.J.1
  • 7
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    • Discrete-time nonlinear HJB solution using approximate dynamic programming: Convergence proof
    • A. Al-Tamimi, F. L. Lewis, and M. Abu-Khalaf, "Discrete-time nonlinear HJB solution using approximate dynamic programming: convergence proof," IEEE Trans. On Systems, Man, and Cybernetics-Part B, vol. 38, pp. 943-949, 2008.
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    • A single network adaptive critic (SNAC) architecture for optimal control synthesis for a class of nonlinear systems
    • DOI 10.1016/j.neunet.2006.08.010, PII S0893608006001912
    • R. Padhi, N. Unnikrishnan, X. Wang, and S. N. Balakrishnan, "A single network adaptive critic (SNAC) architecture for optimal control synthesis for a class of nonlinear systems," Neural Networks, vol. 19, pp.1648-1660, 2006. (Pubitemid 44793175)
    • (2006) Neural Networks , vol.19 , Issue.10 , pp. 1648-1660
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  • 11
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  • 12
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