Paper Info
Title
Prescribed-Time Consensus and Containment Control of Networked Multiagent Systems.
Abstract
In this paper, we present a new prescribed-time distributed control method for consensus and containment of networked multiple systems. Different from both regular finite-time control (where the finite settling time is not uniform in initial conditions) and the fixed-time control (where the settling time cannot be preassigned arbitrarily), the proposed one is built upon a novel scaling function, resulting in prespecifiable convergence time (the settling time can be preassigned as needed within any physically allowable range). Furthermore, the developed control scheme not only ensures that all the agents reach the average consensus in prescribed finite time under undirected connected topology, but also ensures that all the agents reach a prescribed-time consensus with the root's state being the group decision value under the directed topology containing a spanning tree with the root as the leader. In addition, we extend the result to prescribed-time containment control involving multiple leaders under directed communication topology. Numerical examples are provided to verify the effectiveness and the superiority of the proposed control.
Year
DOI
Venue
2019
10.1109/TCYB.2017.2788874
IEEE transactions on cybernetics
Keywords
Field
DocType
Topology,Convergence,Indexes,State feedback,Protocols,Network topology
Convergence (routing),Mathematical optimization,Settling time,Multi-agent system,Network topology,Spanning tree,Scaling,Mathematics,Containment,Finite time
Journal
Volume
Issue
ISSN
49
4
2168-2275
Citations 
PageRank 
References 
24
0.66
20
Authors
4
Name
Order
Citations
PageRank
Yujuan Wang124611.57
Yong-Duan Song21949108.61
D. J. Hill356562.45
Miroslav Krstic44987553.84