Discrete-Time Adaptive Iterative Learning Control: From Model-Based to Data-Driven by Ronghu Chi, Na Lin, Huimin Zhang, Ruikun Zhang
English | EPUB | 2022 | 211 Pages | ISBN : 9811904634 | 30.5 MB
This book belongs to the subject of control and systems theory. The discrete-time adaptive iterative learning control (DAILC) is discussed as a cutting-edge of ILC and can address random initial states, iteration-varying targets, and other non-repetitive uncertainties in practical applications. This book begins with the design and analysis of model-based DAILC methods by referencing the tools used in the discrete-time adaptive control theory.