• DocumentCode
    75185
  • Title

    A Novel Penalty Approach for Nonlinear Dynamic Optimization Problems With Inequality Path Constraints

  • Author

    Xinggao Liu ; Yunqing Hu ; Jianghua Feng ; Kean Liu

  • Author_Institution
    Control Dept., Zhejiang Univ., Hangzhou, China
  • Volume
    59
  • Issue
    10
  • fYear
    2014
  • fDate
    Oct. 2014
  • Firstpage
    2863
  • Lastpage
    2867
  • Abstract
    The control vector parameterization (CVP) approach is popular to solve nonlinear dynamic optimization problems, but handling inequality path constraints within its framework is a challenge. This study deals with inequality path constraints by using the l1 penalty function and a novel smoothing technique. After clarifying some theories of the proposed approach, a concomitant algorithm is also put forward and verified.
  • Keywords
    dynamic programming; nonlinear programming; vectors; CVP; concomitant algorithm; control vector parameterization; inequality path constraints; nonlinear dynamic optimization problems; novel penalty approach; novel smoothing technique; Approximation algorithms; Heuristic algorithms; Linear programming; Nonlinear dynamical systems; Optimization; Smoothing methods; Vectors; Control vector parameterization (CVP); inequality path constraint; nonlinear dynamic optimization; penalty function; smoothing technique;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2014.2317293
  • Filename
    6787015
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=75185