This book presents a unified frequency-domain method for the analysis of distributed control systems. The following important topics are discussed by using the proposed frequency-domain method: (1) Scalable stability criteria of networks of distributed control systems; (2) Effect of heterogeneous delays on the stability of a network of distributed control system; (3) Stability of Internet congestion control algorithms; and (4) Consensus in multi-agent systems. This book is ideal for graduate students in control, networking and robotics, as well as researchers in the fields of control theory and networking who are interested in learning and applying distributed control algorithms or frequency-domain analysis methods.
"synopsis" may belong to another edition of this title.
Yu-Ping Tian is a Professor of Automation at Southeast University. His research interests include analysis and control of communication networks, formation control of robots, chaos control and synchronization, and robust and adaptive control. He won the Guan Zhao Zhi Paper Award at the Chinese Control Conference in 1995 and the Best Theory Paper Award at the 3rd World Congress on Intelligent Control and Automation in 2000. He is the recipient of the Chang Jiang Professorship awarded by the Education Ministry of China and the Distinguished Young Scholar Award of the National Natural Science Foundation of China. He has held visiting positions in Central Queensland University (1998, 2001), University of California at Berkeley (2002), and City University of Hong Kong (2004). Tian received a Bachelors degree from Tsinghua University, a Ph.D. degree from Moscow Power Institute and an Sc.D. degree from Taganrog State Radio-engineering University, Taganrog, Russia, in 1996. All his degrees are in Electrical Engineering.
With the rapid development of micro-sensors, micro-motors, sensor networks and communication networks, spatially distributed control systems have attracted increasing attention. Internet congestion control and the multi-robot coordination control are two typical examples of distributed control systems. In such systems global collective behaviors emerge or global targets are reached through a distributed control strategy. In Frequency-Domain Analysis and Design of Distributed Control Systems, Yu-Ping Tian systematically covers distributed control to help readers solve the effects of delays on stability.
This book is ideal for graduate students in control, networking and robotics. The book is also geared for researchers in the fields of control theory and networking, who are interested in learning and applying distributed control algorithms or frequency-domain analysis methods.
Companion website for the book:
www.wiley.com/go/tian/fda
With the rapid development of micro-sensors, micro-motors, sensor networks and communication networks, spatially distributed control systems have attracted increasing attention. Internet congestion control and the multi-robot coordination control are two typical examples of distributed control systems. In such systems global collective behaviors emerge or global targets are reached through a distributed control strategy. In Frequency-Domain Analysis and Design of Distributed Control Systems, Yu-Ping Tian systematically covers distributed control to help readers solve the effects of delays on stability.
This book is ideal for graduate students in control, networking and robotics. The book is also geared for researchers in the fields of control theory and networking, who are interested in learning and applying distributed control algorithms or frequency-domain analysis methods.
Companion website for the book:
www.wiley.com/go/tian/fda
"About this title" may belong to another edition of this title.
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