Journal
INTERNATIONAL JOURNAL OF CONTROL
Volume 94, Issue 9, Pages 2379-2387Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207179.2019.1707289
Keywords
Event-triggered; mean square consensus; state-dependent; stochastic; directed multi-agents
Categories
Funding
- National Natural Science Foundation of China [61873171, 61603260, 61872429]
Ask authors/readers for more resources
This study focuses on the mean square consensus problem for stochastic multi-agent systems with nonlinear protocols, proposing a novel proposition based on matrix theory to overcome challenges, and exploring time-dependent event-triggered strategies for communication efficiency. Sufficient conditions for mean square consensus with state-dependent topology are established, eliminating Zeno phenomenon with a positive lower bound for inter-event times. A simulation example demonstrates the validity of theoretical results and effectiveness of the control protocol.
In this study, the mean square consensus problem for stochastic multi-agent systems with nonlinear protocols is concerned. In particular, the topological structure of the system is characterised by state-dependent directed graph, in which the edges are described by nonlinear function related to the states and possess much better performance than before. A novel proposition based on matrix theory is proposed to conquer the challenges of time-invariant asymmetric matrix. In view of the communication burden and practically, a time-dependent event-triggered strategies are explored, where the control input on each agent is updated only when a certain triggering condition is violated. Then, some sufficient conditions for mean square consensus of stochastic multi-agent with state-dependent topology are established. Furthermore, a positive lower bound for inter-event times can be found such that the Zeno phenomenon is eliminated. Finally, a simulation example is utilised to illustrate the validly of developed theoretical results and the effectiveness of the control protocol.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available