Global and semilocal estimation in multistage optimal control (Abstract/Poster in atti di convegno)

Type
Label
  • Global and semilocal estimation in multistage optimal control (Abstract/Poster in atti di convegno) (literal)
Anno
  • 2011-01-01T00:00:00+01:00 (literal)
Alternative label
  • C. Cervellera; V. C P. Chen; D. Macciò (2011)
    Global and semilocal estimation in multistage optimal control
    in Informs Annual Meeting, Charlotte, Novembre, 10-13
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • C. Cervellera; V. C P. Chen; D. Macciò (literal)
Note
  • Abstract (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • 1) Institute of Intelligent Systems for Automation, National Research Council, Via De Marini 6, 16149, Genova, Italy; 2) Center on Stochastic Modeling, Optimization & Statistics, University of Texas at Arlington, Campus Box 19017, Arlington, TX 76019-0017, USA; 3) Institute of Intelligent Systems for Automation, National Research Council, Via De Marini 6, 16149, Genova, Italy (literal)
Titolo
  • Global and semilocal estimation in multistage optimal control (literal)
Abstract
  • A main issue in multistage optimal control (MOC) problems is the choice of a suitable class of models for the approximation of the cost and/or the control functions. We present a comparison between local and global approaches to estimation through the application of semilocal kernel models and neural networks, respectively. Two methods for the solution of MOC are considered, namely, the approximate dynamic programming and a method based on a direct optimization of the optimal control functions. (literal)
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