Robust synthesis for linear parameter varying systems using integral quadratic constraints
作者: Shu WangHarald PfiferPeter Seiler
作者单位: 1Aerospace Engineering and Mechanics Department, University of Minnesota, 107 Akerman Hall, 110 Union St. SE Minneapolis, MN 55455-0153, United States
刊名: Automatica, 2016, Vol.68 , pp.111-118
来源数据库: Elsevier Journal
DOI: 10.1016/j.automatica.2016.01.053
关键词: Robust controlLinear parameter varying systemsIntegral quadratic constraintsSemidefinite programs
英文摘要: Abstract(#br)A robust synthesis algorithm is developed for a class of uncertain, linear parameter varying (LPV) systems. The uncertain system is described as an interconnection of a nominal LPV system and a block structured uncertainty. The nominal part is a “gridded” LPV system with state matrices that are arbitrary functions of the parameter. The input/output behavior of the uncertainty is described by integral quadratic constraints (IQCs). The robust synthesis problem leads to a non-convex optimization. The proposed algorithm is a coordinate-wise descent similar to the well-known DK iteration for μ synthesis. It alternates between an LPV synthesis step and an IQC analysis step. Both steps can be efficiently solved as semidefinite programs. The derivation of the synthesis algorithm is...
全文获取路径: Elsevier  (合作)
影响因子:2.919 (2012)

  • varying 变化的
  • synthesis 合成
  • constraints 系统规定参数
  • parameter 参数
  • quadratic 二次的
  • integral 积分
  • linear 线形的
  • systems 系统科学与软件