Consensus Problem of Delayed Linear Multi-Agent Systems : Analysis and Design

Cheng-Lin Liu

ISBN 10: 981102491X / ISBN 13: 9789811024917

Published by Springer Nature Singapore, 2016

About this Item

Druck auf Anfrage Neuware - Printed after ordering - In the context of coupled-coordination control mechanisms, this book focuses on the delay robustness of consensus problems with asynchronously coupled and synchronously coupled consensus algorithms respectively. Moreover, constructive consensus algorithms that tolerate larger communication delays are proposed according to idea of compensation. By providing rigorous theoretical proofs and numerous numerical simulations, it enhances readers' understanding of the consensus coordination control mechanism of multi-agent systems with communication delays.

Seller Inventory # 9789811024917

Bibliographic Details

• Title: Consensus Problem of Delayed Linear Multi-Agent Systems : Analysis and Design
• Publisher: Springer Nature Singapore
• Publication Date: 2016
• Language: English
• ISBN 10: 981102491X
• ISBN 13: 9789811024917
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 236W x 158H x 10D millimeters 236 millimeters width by 158 millimeters height by 10 millimeters depth
• Weight: 232 grams

About this title

Synopsis

In the context of coupled-coordination control mechanisms, this book focuses on the delay robustness of consensus problems with asynchronously coupled and synchronously coupled consensus algorithms respectively. Moreover, constructive consensus algorithms that tolerate larger communication delays are proposed according to idea of compensation. By providing rigorous theoretical proofs and numerous numerical simulations, it enhances readers’ understanding of the consensus coordination control mechanism of multi-agent systems with communication delays.

About the Author

Cheng-Lin Liu is an associate professor at Jiangnan University. His research interests include distributed coordination control of multi-agent systems, networked control system, iterative learning control. He has published over 30 Journal papers in recent years, of which 15 are international and SCI journal papers. He won the Outstanding Doctoral Dissertation Award of Southeast University, Nanjing, China, in 2010. He has been invited to be a peer reviewer for international journals, including: Automatica, International Journal of Robust and Nonlinear Control, IET Control Theory and Applications, Journal of the Franklin Institute, International Journal of Systems Science, etc.

Fei Liu is a professor at Jiangnan University. His research interests include advanced control theory and applications, batch process control engineering, distributed control systems and coordination control of multi-agent systems. He has been invited to be a peer reviewer for international journals, including: IEEE Trans on Automatic Control, Automatica, IEEE Trans on Industrial Electronics, Journal of Process Control, International Journal of Robust and Nonlinear Control, etc.