LMI-based robust iterative learning controller design for discrete linear uncertain systems
Jianming XU
Mingxuan SUN
Li YU
摘要：This paper addresses the design problem of robust iterative learning controllers for a class of linear discrete-time systems with norm-bounded parameter uncertainties.An iterative learning algorithm with current cycle feedback is proposed to achieve both robust convergence and robust stability.The synthesis problem of the proposed iterative learning control (ILC) system is reformulated as a γ-suboptimal H-infinity control problem via the linear fractional transformation (LFT).A sufficient condition for the convergence of the ILC algorithm is presented in terms of linear matrix inequalities (LMIs).Furthermore,the linear transfer operators of the ILC algorithm with high convergence speed are obtained by using existing convex optimization techniques.The simulation results demonstrate the effectiveness of the proposed method.
机标关键词：
分类号：O231(控制论、信息论（数学理论）)
资助基金：中国科学院项目（非规范项目）(60474005)中国科学院项目（非规范项目）(60274034)
论文发表日期：2005-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：7( 259-265 )
英文信息