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文章基本信息

  • 标题:Gain-Scheduled MPC Design for Nonlinear Systems with Input Constraints ∗
  • 本地全文:下载
  • 作者:Adrian Ilka ; Vojtech Veselý
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:11
  • 页码:912-917
  • DOI:10.1016/j.ifacol.2015.09.307
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractA novel methodology is proposed for discrete model predictive gain-scheduled controller design for nonlinear systems with input(hard)/output(soft) constraints for finite and infinite prediction horizons. The proposed design procedure is based on the linear parametervarying (LPV) paradigm, afine parameter-dependent quadratic stability and on the notion of the parameter-varying guaranteed cost. The obtained design procedure is in the form of BMI. Numerical examples show the benefit of the proposed approach.
  • 关键词:KeywordsGain-scheduled controllerPredictive controllerParameter-dependent Lyapunov functionQuadratic gain-scheduled cost functionLPV systemsNonlinear systems
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