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  • 标题:Novel qLPV MPC Design with Least-Squares Scheduling Prediction ⁎
  • 本地全文:下载
  • 作者:Marcelo Menezes Morato ; Julio E. Normey-Rico ; Olivier Sename
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2019
  • 卷号:52
  • 期号:28
  • 页码:158-163
  • DOI:10.1016/j.ifacol.2019.12.366
  • 语种:English
  • 出版社:Elsevier
  • 摘要:The design of a Model Predictive Control(MPC)algorithm forquasiLinear Parameter Varying(qLPV)systems is developed herein. An online Least-Squares procedure that computes the future evolution of theqLPVscheduling parameters is at the core of the proposed method, which enables the replacement of a complex nonlinear optimization by a (much simpler) Quadratic Programming Problem(QP)one. The method also uses contractive terminal set constraints and a Lyapunov-associated terminal cost to theMPC QP,so that the domain of attraction of this controller is enlarged and feasibility is guaranteed. This paper ends with a successful simulation of this technique applied to the control of vehicular suspensions.
  • 关键词:KeywordsModel Predictive ControlquasiLinear Parameter Varying SystemsLeast Square PredictionConstrained ControlSemi-Active Suspensions
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