Detailansicht
Packet-Based Control for Networked Control Systems
eBook - A Co-Design Approach
Yu, Li/Kang, Yu/Zhao, Yun-Bo et al
ISBN/EAN: 9789811062506
Umbreit-Nr.: 4627314
Sprache:
Englisch
Umfang: 0 S., 4.96 MB
Format in cm:
Einband:
Keine Angabe
Erschienen am 14.09.2017
Auflage: 1/2017
E-Book
Format: PDF
DRM: Digitales Wasserzeichen
- Zusatztext
- <div><p>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.</p></div><p></p>
- Kurztext
- 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.