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Volumn , Issue , 2009, Pages 357-374

Online synchronous policy iteration method for optimal control

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EID: 79953132013     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-84882-548-2_14     Document Type: Chapter
Times cited : (25)

References (21)
  • 1
    • 14844340822 scopus 로고    scopus 로고
    • Nearly optimal control laws for nonlinear systems with saturating actuators using a neural network HJB approach
    • M. Abu-Khalaf, F. L. Lewis, Nearly Optimal Control Laws for Nonlinear Systems with Saturating Actuators Using a Neural Network HJB Approach, Automatica, vol. 41, no. 5, pp. 779-791, 2005.
    • (2005) Automatica , vol.41 , Issue.5 , pp. 779-791
    • Abu-Khalaf, M.1    Lewis, F.L.2
  • 2
    • 6344234575 scopus 로고
    • Reinforcement learning in continuous time: Advantage updating
    • Orlando FL, June
    • L. C. Baird III, Reinforcement Learning in Continuous Time: Advantage Updating, Proc. Of ICNN, Orlando FL, June 1994.
    • (1994) Proc. of ICNN
    • Baird III, L.C.1
  • 3
    • 0031332446 scopus 로고    scopus 로고
    • Galerkin approximations of the generalized Hamilton-Jacobi-Bellman equation
    • R. Beard, G. Saridis, J. Wen, Galerkin approximations of the generalized Hamilton-Jacobi-Bellman equation, Automatica, vol. 33, no. 12, pp. 2159-2177, 1997.
    • (1997) Automatica , vol.33 , Issue.12 , pp. 2159-2177
    • Beard, R.1    Saridis, G.2    Wen, J.3
  • 5
    • 0034848079 scopus 로고    scopus 로고
    • Successive collocation: An approximation to optimal nonlinear control
    • J. W. Curtis, R. W. Beard, Successive Collocation: An Approximation to Optimal Nonlinear Control, IEEE Proc. ACC01, IEEE, 2001.
    • (2001) IEEE Proc. ACC01, IEEE
    • Curtis, J.W.1    Beard, R.W.2
  • 6
    • 0033629916 scopus 로고    scopus 로고
    • Reinforcement learning in continuous time and space
    • K. Doya, Reinforcement Learning In Continuous Time and Space, Neural Computation, 12(1), 219-245, 2000.
    • (2000) Neural Computation , vol.12 , Issue.1 , pp. 219-245
    • Doya, K.1
  • 10
    • 84914965022 scopus 로고
    • On an iterative technique for riccati equation computations
    • February
    • D. Kleinman, On an Iterative Technique for Riccati Equation Computations, IEEE Trans. on Automatic Control, vol. 13, pp. 114-115, February, 1968.
    • (1968) IEEE Trans. on Automatic Control , vol.13 , pp. 114-115
    • Kleinman, D.1
  • 11
    • 0029304635 scopus 로고
    • Neural net controller with guaranteed tracking performance
    • F. L. Lewis, K. Liu, and A. Yesildirek, Neural Net Controller with Guaranteed Tracking Performance, IEEE Transactions on Neural Networks, vol. 6, no. 3, pp. 703-715, 1995.
    • (1995) IEEE Transactions on Neural Networks , vol.6 , Issue.3 , pp. 703-715
    • Lewis, F.L.1    Liu, K.2    Yesildirek, A.3
  • 17
    • 63049136575 scopus 로고    scopus 로고
    • Adaptive optimal control algorithm for continuous-time nonlinear systems based on policy iteration
    • Accepted
    • D. Vrabie, F. Lewis, Adaptive Optimal Control Algorithm for Continuous-Time Nonlinear Systems Based on Policy Iteration, IEEE Proc. CDC08, IEEE, 2008 (Accepted).
    • (2008) IEEE Proc. CDC08, IEEE
    • Vrabie, D.1    Lewis, F.2
  • 20
    • 0002031779 scopus 로고
    • Approximate dynamic programming for real-time control and neural modeling
    • D. A. White and D. A. Sofge, New York: Van Nostrand Reinhold
    • P. J. Werbos, Approximate dynamic programming for real-time control and neural modeling, Handbook of Intelligent Control, ed. D. A. White and D. A. Sofge, New York: Van Nostrand Reinhold, 1992.
    • (1992) Handbook of Intelligent Control
    • Werbos, P.J.1
  • 21
    • 0024888479 scopus 로고
    • Neural networks for control and system identification
    • P. J. Werbos, Neural networks for control and system identification, IEEE Proc. CDC89, IEEE, 1989.
    • (1989) IEEE Proc. CDC89, IEEE
    • Werbos, P.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.