Title
Event-driven MPC for leader-follower nonlinear multi-agent systems
Abstract
In this paper, we propose a model predictive control (MPC) method, which is on the basis of event-driven, for a tracking scheme of a leader-follower nonlinear multi-agent system (MAS) limited to input constraints and disturbances. An event-driven condition is designed for each follower such that each follower updates its states at trigger instants. By the designed event-driven scheme, a MPC method is proposed to implement the tracking scheme. Recursive feasibility and practical stability are ensured simultaneously by devising a robust terminal region as well as appropriate parameters for each follower. At last, an example on satellites is provided to validate the validity of the presented approach.
Year
DOI
Venue
2018
10.1109/ICARM.2018.8610731
ICARM
Keywords
Field
DocType
Event-driven mechanism,model predictive control (M-PC),multi-agent system (MAS),tracking scheme
Nonlinear system,Control theory,Leader follower,Computer science,Model predictive control,Multi-agent system,Recursion
Conference
ISBN
Citations 
PageRank 
978-1-5386-7066-8
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Yang Xu111841.02
Yuan Yuan230126.63
Huaping Liu31039107.17