Robust Data-Driven Iterative Learning Control for Linear-Time-Invariant and Hammerstein-Wiener Systems

2021 ◽  
pp. 1-14
Author(s):  
Jianfei Dong
Keyword(s):  
Iterative Learning Control ◽  
Linear Time ◽  
Learning Control ◽  
Iterative Learning ◽  
Data Driven ◽  
Linear Time Invariant ◽  
Wiener Systems ◽  
Time Invariant

An Improved PD Type Iterative Learning Control Algorithm Based on Wavelet Filter

2014 ◽  
Vol 511-512 ◽  
pp. 898-903
Author(s):  
Yan Xin Zhang ◽  
Ting Xu Zhang
Keyword(s):  
Iterative Learning Control ◽  
Linear Time ◽  
Learning Control ◽  
Iterative Learning ◽  
Wavelet Filter ◽  
Wavelet Theory ◽  
Linear Time Invariant ◽  
Multi Level ◽  
Linear Time Invariant Systems ◽  
Time Invariant

This paper proposes an improved PD type Iterative Learning Control (ILC) algorithm combined with Wavelet theory for linear time-invariant systems with random time delays. The transfer function of multi-level wavelet filter is researched, and the sufficient condition of the convergence is given. Simulation results illustrate the applicability and effectiveness of proposed approach.

scholarly journals Robust Conditions for Iterative Learning Control in State Feedback and Output Injection Paradigm

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Muhammad A. Alsubaie ◽  
Mubarak KH. Alhajri ◽  
Tarek S. Altowaim ◽  
Salem H. Salamah
Keyword(s):  
Iterative Learning Control ◽  
State Feedback ◽  
Linear Time ◽  
Stability Margin ◽  
Learning Control ◽  
Iterative Learning ◽  
Delay Model ◽  
Linear Time Invariant ◽  
System Input ◽  
Linear Time Invariant Systems

A robust Iterative Learning Control (ILC) design that uses state feedback and output injection for linear time-invariant systems is reintroduced. ILC is a control tool that is used to overcome periodic disturbances in repetitive systems acting on the system input. The design basically depends on the small gain theorem, which suggests isolating a modeled disturbance system and finding the overall transfer function around the delay model. This assures disturbance accommodation if stability conditions are achieved. The reported design has a lack in terms of the uncertainty issue. This study considered the robustness issue by investigating and setting conditions to improve the system performance in the ILC design against a system’s unmodeled dynamics. The simulation results obtained for two different systems showed an improvement in the stability margin in the case of system perturbation.

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