A data-driven optimal ILC method incorporated with extended state observer for nonlinear discrete-time repetitive systems

Key Words:Two term control systems;Controllers - Iterative methods - Learning systems - State estimation

Abstract:In this work, a novel data-driven optimal ILC with an extended state observer for a class of nonlinear non-affine discrete-time repetitive system has been proposed. The main feature of the approach is that the controller design depends merely on the I/O data, and an ESO has been introduced for the estimation of disturbance and uncertainty. The final simulation results verify the effectiveness of the proposed method.<br/> &copy; 2018 IEEE.

Translation or Not:no