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

ISBN-13: 9789811062490 / Angielski / Twarda / 2017 / 184 str.

Yun-Bo Zhao; Guo-Ping Liu; Yu Kang

Opis

This book introduces a unique, packet-based co-design control framework for networked control systems. 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.

Spis treści

A brief tutorial of Networked Control Systems.-  Part I: Design.- Packet-Based Control for Networked Control Systems.- Packet-Based Control for Networked Hammerstein Systems.- Packet-Based Control for Networked Wiener Systems.- Packet-Based Networked Control Systems in Continuous Time.- Part II Analysis.- Stochastic Stabilization of Packet-Based Networked Control Systems.- Stability of Networked Control Systems: A New Time Delay Systems Approach.- Exploring the Different Delay Effects in Different Channels in Networked Control Systems.- Part III Extension.- Active Compensation for Data Packet Disorder in Networked Control Systems.- Error Bounded Sensing for Packet-Based Networked Control Systems.- Packet-Based Deadband Control for Networked Control Systems.- Packet-Based Control and Scheduling Co-Design for Networked Control Systems.

Blurb

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.