CN

阮小娥

教授    Supervisor of Doctorate Candidates    Supervisor of Master's Candidates

  • E-Mail:
  • Education Level:With Certificate of Graduation for Doctorate Study

Papers

Current position: Home > Research > Papers

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

Release Time:2025-04-30
Hits:
Date:
2025-04-30
Title of Paper:
Analysis of Iterative Learning Control for a Class of Linear Discrete-Time Switched Systems
Journal:
Abstract and Applied Analysis
Summary:
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 systemrepetitively 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.
Co-author:
Xuan Yang, Xiaoe Ruan
Volume:
2015
Translation or Not:
No
Date of Publication:
2015-10-08