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  • 标题:Stochastic economic model predictive control for Markovian switching systems
  • 本地全文:下载
  • 作者:Pantelis Sopasakis ; Domagoj Herceg ; Panagiotis Patrinos
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:524-530
  • DOI:10.1016/j.ifacol.2017.08.056
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe optimization of process economics within the model predictive control (MPC) formulation has given rise to a new control paradigm known as economic MPC (EMPC). Several authors have discussed the closed-loop properties of EMPC-controlled deterministic systems, however, little have uncertain systems been studied. In this paper we propose EMPC formulations for nonlinear Markovian switching systems which guarantee recursive feasibility, asymptotic performance bounds and constrained mean square (MS) stability.
  • 关键词:KeywordsStochastic controlEconomic model predictive controlMarkovian switching systemsStochastic dissipativity
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