Packet-Based Control for Networked Control Systems | A Co-Design Approach

Yun-Bo Zhao (u. a.)

ISBN 10: 9811348391 / ISBN 13: 9789811348396

Published by Springer Singapore, 2019

About this Item

Packet-Based Control for Networked Control Systems | A Co-Design Approach | Yun-Bo Zhao (u. a.) | Taschenbuch | xiii | Englisch | 2019 | Springer Singapore | EAN 9789811348396 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 115106800

Bibliographic Details

• Title: Packet-Based Control for Networked Control Systems | A Co-Design Approach
• Publisher: Springer Singapore
• Publication Date: 2019
• Language: English
• ISBN 10: 9811348391
• ISBN 13: 9789811348396
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 12D millimeters 235 millimeters width by 155 millimeters height by 12 millimeters depth
• Weight: 312 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Provides a general overview of networked control systems for beginners in the field

Presents a complete codesign and analysis framework, introducing readers to the codesign methodology for networked control systems

Accompanied by a unique online experimental laboratory, offering students access to a practical networked control system platform

From the Back Cover

This book introduces a unique, packet-based co-design control framework for networked control systems. It begins by providing a comprehensive survey of state-of-the-art research on networked control systems, giving readers a general overview of the field. It then verifies the proposed control framework both theoretically and experimentally – the former using multiple control methodologies, and the latter using a unique online test rig for networked control systems. The framework investigates in detail the most common, communication constraints, including network-induced delays, data packet dropout, data packet disorders, and network access constraints, as well as multiple controller design and system analysis tools such as model predictive control, linear matrix inequalities and optimal control. This unique and complete co-design framework greatly benefits researchers, graduate students and engineers in the fields of control theory and engineering.