Name: Data-Driven Iterative Learning Control for Discrete-Time Systems (en Inglés)
Price: 168.52 USD
Availability: InStock
Author: Chi, Ronghu ; Hui, Yu ; Hou, Zhongsheng
ISBN: 9789811959523

portada Data-Driven Iterative Learning Control for Discrete-Time Systems (en Inglés)

Data-Driven Iterative Learning Control for Discrete-Time Systems (en Inglés)

Formato

Libro Físico

Autor

Editorial

Idioma

Inglés

N° páginas

235

Encuadernación

Tapa Blanda

ISBN13

9789811959523

Categorías

Probabilidad y estadística
Ingeniería de control automático
Ciencias de la computación

Data-Driven Iterative Learning Control for Discrete-Time Systems (en Inglés)

Ronghu Chi (Autor) · Yu Hui (Autor) · Zhongsheng Hou (Autor) · Springer · Tapa Blanda

Libro Nuevo Importado

Envío: 20 a 27 días háb.

$ 280.86$ 168.52

-40%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan más de 100 unidades

$ 168.52

Llega entre el 09 Sep y el 22 Sep a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Data-Driven Iterative Learning Control for Discrete-Time Systems (en Inglés)"

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.