• DocumentCode
    2250555
  • Title

    Convergence analysis for an identifier-based adaptive dynamic programming algorithm

  • Author

    Jun, Song ; Yugang, Niu ; Yuanyuan, Zou

  • Author_Institution
    Key Laboratory of Advanced Control and Optimization for Chemical Process (East China University of Science and Technology), Ministry of Education, Shanghai 200237, China
  • fYear
    2015
  • fDate
    28-30 July 2015
  • Firstpage
    3085
  • Lastpage
    3090
  • Abstract
    This paper investigates the uniformly ultimate boundedness (UUB) of an identifier-based adaptive dynamic programming (ADP) algorithm proposed in [7]. It is demonstrated that the estimation errors of weights in both critic and action networks are UUB during iteration learning. Moreover, a selection method on learning rates is also given.
  • Keywords
    Algorithm design and analysis; Artificial neural networks; Convergence; Estimation error; Heuristic algorithms; Markov processes; Optimal control; Adaptive Dynamic Programming (ADP); Markov Jump Systems (MJSs); Uniformly Ultimately Boundedness (UUB);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2015 34th Chinese
  • Conference_Location
    Hangzhou, China
  • Type

    conf

  • DOI
    10.1109/ChiCC.2015.7260115
  • Filename
    7260115
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2250555