Can I read Discrete-Time Adaptive Iterative Learning Control: From Model-Based to Data-Driven (Intelligent Control and Learning Systems Book 1) on EtoBox?

Discrete-Time Adaptive Iterative Learning Control: From Model-Based to Data-Driven (Intelligent Control and Learning Systems Book 1) by Ronghu Chi, Na Lin, Huimin Zhang, Ruikun Zhang is a nonfiction available to read on EtoBox.

What is Discrete-Time Adaptive Iterative Learning Control: From Model-Based to Data-Driven (Intelligent Control and Learning Systems Book 1) about?

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. To overcome the extreme difficulties in modeling a complex system, the data-driven DAILC methods are further discussed by building a linear parametric data mapping between two consecutive iterations. Other significant improvements and extensions of the model-based/data-driven DAILC are also studied to facilitate broader applications. The readers can learn the recent progress on DAILC with consideration of various applications. This book is intended for academic scholars, engineers and graduate students who are interested in learning control, adaptive control, nonlinear systems, and related fields. Erscheinungsdatum: 22.03.2022

Who reads Discrete-Time Adaptive Iterative Learning Control: From Model-Based to Data-Driven (Intelligent Control and Learning Systems Book 1)?

Author

Ronghu Chi, Na Lin, Huimin Zhang, Ruikun Zhang

Publisher

Springer Singapore : Imprint: Springer

Published

2022

Language

EN

ISBN

9789811904639

Category

nonfiction

Subjects

Engineering, Mathematics, Computer Science