Iterative learning control (ILC) is a strategy for repetitive tasks wherein information from previous runs leveraged to improve future performance. Optimization-based ILC (OB-ILC) powerful design framework constrained where measurements the process are integrated into an optimization algorithm provide robustness against noise and modelling error. This paper proposes robust controller linear pro...

Iterative learning control (ILC) is used to control systems that operate in a repetitive mode, improving tracking accuracy of the control by transferring data from one repetition of a task, to the next. In this paper an optimal iterative learning algorithm for discrete linear systems is designed and implemented. The design and implementation that have been done using Matlab® 7 and Simulink are ...

Iterative learning control is a control technique used for the tracking of a finite duration trajectory. Iterative learning control (ILC) with focus on speed of tracking specific points and tracking error on these points is analyzed in this paper. A technique is introduced which employs the receding horizon optimization to track the points along with the iterative learning control is introduced...