TY  - GEN
AB  - This book aims to explain how collective behavior is formed via local interactions under imperfect communication in complex networked systems. It also presents some new distributed protocols or algorithms for complex networked systems to comply with bandwidth limitation and tolerate communication delays. This book will be of particular interest to the readers due to the benefits: 1) it studies the effect of time delay and quantization on the collective behavior by non-smooth analytical technique and algebraic graph theory; 2) it introduces the event-based consensus method under delayed information transmission; In the meantime, it presents some novel approaches to handle the communication constraints in networked systems; 3) it gives some synchronization and control strategies for complex networked systems with limited communication abilities. Furthermore, it provides a consensus recovery approach for multi-agent systems with node failure. Also, it presents interesting results about bipartite consensus and fixed-time/finite-time bipartite consensus of networks with cooperative and antagonistic interactions.
AU  - Lu, Jianquan,
AU  - Li, Lulu,
AU  - Ho, Daniel W. C.,
AU  - Cao, Jinde,
CN  - QA76.76.I58
CY  - Singapore :
DA  - 2021.
DO  - 10.1007/978-981-16-1506-1
DO  - doi
ID  - 1438025
KW  - Multiagent systems.
KW  - Computer networks.
KW  - Systèmes multiagents (Intelligence artificielle)
KW  - Réseaux d'ordinateurs.
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-1506-1
N2  - This book aims to explain how collective behavior is formed via local interactions under imperfect communication in complex networked systems. It also presents some new distributed protocols or algorithms for complex networked systems to comply with bandwidth limitation and tolerate communication delays. This book will be of particular interest to the readers due to the benefits: 1) it studies the effect of time delay and quantization on the collective behavior by non-smooth analytical technique and algebraic graph theory; 2) it introduces the event-based consensus method under delayed information transmission; In the meantime, it presents some novel approaches to handle the communication constraints in networked systems; 3) it gives some synchronization and control strategies for complex networked systems with limited communication abilities. Furthermore, it provides a consensus recovery approach for multi-agent systems with node failure. Also, it presents interesting results about bipartite consensus and fixed-time/finite-time bipartite consensus of networks with cooperative and antagonistic interactions.
PB  - Springer,
PP  - Singapore :
PY  - 2021.
SN  - 9789811615061
SN  - 9811615063
T1  - Collective behavior in complex networked systems under imperfect communication /
TI  - Collective behavior in complex networked systems under imperfect communication /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-1506-1
ER  -