Name: Distributed Event-triggered Control. Scalability and Robustness
SKU: 64794298
Price: 139.94 EUR
Availability: InStock
Author: Bin Cheng;Zhongkui Li;Weihao Song;Shiqi Zhang
ISBN: 9789819981724

portada Distributed Event-triggered Control. Scalability and Robustness

Distributed Event-triggered Control. Scalability and Robustness

Type

Physical Book

Publisher

Springer Verlag, Singapore

Author

Bin Cheng;Zhongkui Li;Weihao Song;Shiqi Zhang

Year

2024

Pages

152

Format

Paperback

Dimensions

23.5x15.5 cm

ISBN13

9789819981724

Distributed Event-triggered Control. Scalability and Robustness

Bin Cheng;Zhongkui Li;Weihao Song;Shiqi Zhang (Author) · Springer Verlag, Singapore · Paperback

Cheaper New Book Imported to Netherlands

Delivery: 20 Oct - 27 Oct

€ 139,94

Faster New Book Imported to Netherlands

Delivery: 15 Oct - 19 Oct

€ 171,66

Import costs and 9% BTW included in the price ✅

€ 139,94

Add to Wishlist

Synopsis "Distributed Event-triggered Control. Scalability and Robustness"

This book focuses on distributed event-triggered control of multi-agent systems, in which the event-triggering mechanism is utilized to reduce the communication frequencies in order to compensate for constrained network bandwidths, an aspect that poses significant challenges for distributed control design.

This book focuses on distributed event-triggered control of multi-agent systems, in which the event-triggering mechanism is utilized to reduce the communication frequencies in order to compensate for constrained network bandwidths, an aspect that poses significant challenges for distributed control design. The book summarizes the authors original, systematic contributions on scalability and robustness, two core issues in distributed event-triggered control. Specifically, the book presents fully distributed adaptive event-triggered control laws; as they rely on neither continuous communications nor global information on the network, these laws are scalable with regard to network size and topology. Moreover, the book provides novel and robust event-triggered algorithms, which can accommodate various frequency-domain and matching uncertainties.

The results presented here are applicable to UAV swarms, automobile systems, aerospace systems, vehicle platooning, and more, and will be of considerable interest to graduate students, researchers, and engineers working on network control systems.