Abstract | ||
---|---|---|
Stationary and distributed consensus protocols for a network of n dynamic agents under local information is considered. Consensus must be reached on a group decision value returned by a function of the agents' initial state values. As a main contribution we show that the agents can reach consensus if the value of such a function computed over the agents' state trajectories is time invariant. We use this basic result to introduce a protocol design rule allowing consensus on a quite general set of values. Such a set includes, e.g., any generalized mean of order p of the agents' initial states. We demonstrate that the asymptotical consensus is reached via a Lyapunov approach. Finally we perform a simulation study concerning the alignment maneuver of a team of unmanned air vehicles. |
Year | DOI | Venue |
---|---|---|
2005 | 10.1109/CDC.2005.1583298 | 2005 44TH IEEE CONFERENCE ON DECISION AND CONTROL & EUROPEAN CONTROL CONFERENCE, VOLS 1-8 |
Keywords | DocType | ISSN |
intelligent networks,remotely operated vehicles,network topology,distributed consensus,protocols,mobile robots,vehicle dynamics,control systems | Conference | 0743-1546 |
Citations | PageRank | References |
10 | 3.53 | 12 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dario Bauso | 1 | 212 | 35.09 |
Laura Giarré | 2 | 68 | 16.93 |
Raffaele Pesenti | 3 | 277 | 38.44 |