Observer Based Iterative Learning Control of Uncertain Plant

摘要

In this paper, differential and discrete linear systems with the affine model of parametric uncertainty are considered. A new method of iterative learning control design for such systems is proposed. This method is based on using a full state observer in combination with the method of vector Lyapunov functions and dissipativity theory for repetitive processes. An example demonstrating the features and advantages of the new design is given.