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Data-Driven Iterative Learning Control for Discrete-Time Systems

Name: Data-Driven Iterative Learning Control for Discrete-Time Systems
Brand: SPRINGER NATURE
SKU: 9789811959523
Price: 157.37 EUR
Availability: InStock

Автор: Yu Hui, Zhongsheng Hou

Език:

Корици: С меки корици

Издател: SPRINGER NATURE

Наличност: Външен склад

Изпращаме след 8-11 дни

157.37 € 307.80 лв

This book belongs to the subject of control and systems theory. It studies a novel data-driven frame...

Информация за книгата

Автор

Yu Hui, Zhongsheng Hou

Език

Английски език

Корици

Книга - С меки корици

Издадена

2023

страници

235

EAN

9789811959523

ISBN

9811959528

Enbook ID

44420313

Издател

SPRINGER NATURE

Теглоt

427

Пълно описание

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.

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Data-Driven Iterative Learning Control for Discrete-Time Systems

Информация за книгата

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