Data-Driven Iterative Learning Control for Discrete-Time Systems Paperback / softback
by Ronghu Chi, Yu Hui, Zhongsheng Hou
Part of the Intelligent Control and Learning Systems series
Paperback / softback
- Information
Description
This book belongs to the subject of control and systems theory.
It studies a novel data-driven framework for the design and analysis of iterative learning control (ILC) for nonlinear discrete-time systems.
A series of iterative dynamic linearization methods is discussed firstly to build a linear data mapping with respect of the system’s output and input between two consecutive iterations.
On this basis, this work presents a series of data-driven ILC (DDILC) approaches with rigorous analysis.
After that, this work also conducts significant extensions to the cases with incomplete data information, specified point tracking, higher order law, system constraint, nonrepetitive uncertainty, and event-triggered strategy to facilitate the real applications.
The readers can learn the recent progress on DDILC for complex systems in practical 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.
Information
-
Out of StockMore expected soonContact us for further information
- Format:Paperback / softback
- Pages:235 pages, 71 Illustrations, color; 5 Illustrations, black and white; X, 235 p. 76 illus., 71 illus.
- Publisher:Springer Verlag, Singapore
- Publication Date:17/11/2023
- Category:
- ISBN:9789811959523
Other Formats
- Hardback from £89.93
- EPUB from £110.08
£129.99
£89.93
Information
-
Out of StockMore expected soonContact us for further information
- Format:Paperback / softback
- Pages:235 pages, 71 Illustrations, color; 5 Illustrations, black and white; X, 235 p. 76 illus., 71 illus.
- Publisher:Springer Verlag, Singapore
- Publication Date:17/11/2023
- Category:
- ISBN:9789811959523