Title
A Model Predictive Control Scheme For Consensus In Multi-Agent Systems With Single-Integrator Dynamics And Input Constraints
Abstract
In this paper we address the problem of driving "group of agents towards a consensus point when agents have "discrete-time single-integrator dynamics and the communication graph is undirected and time-varying. We propose a decentralized Model Predictive Control (MPC) scheme that takes into account constraints on the agent inputs and show that it guarantees consensus under mild assumptions. Since the global cost does not decrease monotonically, it cannot be used as a Lyapunov function for proving consensus. Rather, our proof exploits geometric properties of the optimal path followed by individual agents.
Year
DOI
Venue
2007
10.1109/CDC.2007.4434323
PROCEEDINGS OF THE 46TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-14
Keywords
Field
DocType
lyapunov function,model predictive control,multi agent systems,multi agent system,discrete time,graph theory,predictive control
Graph theory,Lyapunov function,Monotonic function,Graph,Mathematical optimization,Computer science,Control theory,Model predictive control,Integrator,Multi-agent system,Exploit
Conference
ISSN
Citations 
PageRank 
0743-1546
9
0.64
References 
Authors
12
4