Iterative Learning Control of Discrete Systems With Actuator Backlash Using a Weighted Sum of Previous Trial Control Signals

作     者：Pakshin, Pavel Emelianova, Julia Rogers, Eric Galkowski, Krzysztof 

作者机构：Nizhnii Novgorod State Tech Univ Arzamas Polytech Inst RE Alekseev Dept Appl Math Arzamas 607227 Russia Univ Southampton Sch Elect & Comp Sci Southampton SO17 1BJ England Univ Zielona Gora Inst Automat Elect & Elect Engn PL-65516 Zielona Gora Poland 

出 版 物：《IEEE CONTROL SYSTEMS LETTERS》 (IEEE Control Syst. Lett.)

年 卷 期：2023年第7卷

页      面：2958-2963页

核心收录：

基　　金：Russian Science Foundation [21-71-00091] National Science Centre in Poland [2020/39/B/ST7/01487] 

主　　题：Nonlinear dynamics iterative learning control repetitive processes 

摘      要：This letter considers iterative learning control design for discrete dynamics in the presence of backlash in the actuators. A new control design for this problem is developed based on the stability theory for nonlinear repetitive processes. An example demonstrates the effectiveness of the new design where the system model is constructed from data collected from frequency response tests on a physical system.