Robust point‐to‐point iterative learning control for constrained systems: A minimum energy approach

• Published in: International journal of robust and nonlinear control Vol. 32; no. 18; pp. 10139 - 10161
• Main Authors: Zhou, Chenhui, Tao, Hongfeng, Chen, Yiyang, Stojanovic, Vladimir, Paszke, Wojciech
• Format: Journal Article
• Language: English
• Published: Bognor Regis Wiley Subscription Services, Inc 01.12.2022
• Subjects: Algorithms; constraint handing; energy optimization; Iterative algorithms; iterative learning control; Iterative methods; Learning; model uncertainty; Multiple objective analysis; Optimization; point‐to‐point tracking; robust control; Robustness; Tracking; Uncertainty

Iterative learning control (ILC) is a high performance control scenario that is widely applied to systems that repeat a given task or operation defined over a finite duration, and has been introduced to point‐to‐point motion tasks in existing work. However, its design degree of freedom has not been...