TY  - BOOK
AU  - Zhao,Guanglei
AU  - Cui,Hailong
AU  - Hua,Changchun
AU  - Liu,Shuang
ED  - SpringerLink (Online service)
TI  - Cooperative Control of Multi-agent Systems: A Hybrid System Approach 
SN  - 9789819709687
AV  - TJ212-225 
PY  - 2024///
CY  - Singapore
PB  - Springer Nature Singapore, Imprint: Springer
KW  - Control engineering
KW  - System theory
KW  - Control theory
KW  - Mathematics
KW  - Computational intelligence
KW  - Control and Systems Theory
KW  - Systems Theory, Control
KW  - Applications of Mathematics
KW  - Computational Intelligence
N1  - 1 Introduction -- 2 Sampled-Data Consensus Control of MAS with Time Delay -- 3 Sampled-Data Consensus Control of MAS with Packet Losses -- 4 Sampled-Data Consensus Control of MAS under Switching Network -- 5 Output Feedback Sampled-Data Control of MAS -- 6 Hybrid Event-Triggered Bipartite Consensus of MAS -- 7 Hybrid Event-Triggered Consensus of MAS with Time Delay -- 8 Hybrid Event-Triggered Consensus of MAS with Packet Losses -- 9 Sampled-Data Based Reset Control of MAS -- 10 Event-Based Reset Control of MAS -- 11 Reset Observer Based Event-Triggered Control of MAS
N2  - This book focuses on stability analysis and control design approaches for multi-agent systems under network-induced constraints. A hybrid system approach is introduced to address the cooperative control problem of networked multi-agent systems, and several important topics such as asynchronous sampled data cooperative control, hybrid event-triggered cooperative control, and reset-based cooperative control are studied under the hybrid system framework. The special feature of this book is that a hybrid systems approach is proposed for the cooperative control of multi-agent systems, which is beneficial for relaxing the conservativeness of stability analysis and network parameter computation. Interested readers can learn a novel approach to cooperative control of multi-agent systems, and this book can benefit researchers, engineers, and graduate students in the fields of multi-robot cooperation, unmanned aerial vehicle formation, control engineering, etc
UR  - https://doi.org/10.1007/978-981-97-0968-7
ER  -