A fast ellipsoidal MPC scheme for discrete-time polytopic linear parameter varying systems
作者: Alessandro CasavolaDomenico FamularoGiuseppe FranzèEmanuele Garone
作者单位: 1Università degli Studi della Calabria, Via Pietro Bucci, Cubo 42C, I-87036 Rende (CS), Italy
2Université Libre de Bruxelles, Avenue F.D. Roosevelt 50, B-1050 Brussels, Belgium
刊名: Automatica, 2012, Vol.48 (10), pp.2620-2626
来源数据库: Elsevier Journal
DOI: 10.1016/j.automatica.2012.06.065
关键词: Linear parameter varying systemsModel predictive controlConstraints satisfactionConvex relaxationsLMIs
英文摘要: Abstract(#br)This paper proposes a fast ellipsoidal Model Predictive Control (MPC) strategy to address feedback regulation problems for constrained polytopic Linear Parameter Varying (LPV) systems subject to bounded disturbances. In order to deal with the specific non-convex structure of the state prediction tubes arising in LPV contexts, a new convexification procedure is proposed and, based on the off-line computation of a sequence of inner ellipsoidal approximations of exact one-step controllable sets, a computationally low-demanding MPC algorithm is presented. Comparisons with state-of-the-art MPC control algorithms for LPV systems are reported in a final numerical example where several methods are contrasted in terms of achievable domains of attraction, control performance, numerical...
全文获取路径: Elsevier  (合作)
影响因子:2.919 (2012)

  • polytopic 多元分布的
  • varying 变化的
  • parameter 参数
  • ellipsoidal 椭面的
  • scheme 略图
  • linear 线形的
  • discrete 离散的
  • systems 系统科学与软件