Analysis of Iterative Learning Control for a Class of Linear Discrete-Time Switched Systems

作者：Xuan Yang, Xiaoe Ruan · 发表于：Abstract and Applied Analysis · 年份：2015 · DOI：10.1155/2015/464175 · 被引用次数：13 · 研究领域：Iterative Learning Control Systems、Stability and Control of Uncertain Systems、Adaptive Control of Nonlinear Systems

An iterative learning control scheme is applied to a class of linear discrete-time switched systems with arbitrary switching rules. The application is based on the assumption that the switched system repetitively operates over a finite time interval. By taking advantage of the super vector approach, convergence is discussed when noise is free and robustness is analyzed when the controlled system is disturbed by bounded noise. The analytical results manifest that the iterative learning control algorithm is feasible and effective for the linear switched system. To support the theoretical analysis, numerical simulations are made.