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On Consensus Algorithms for Double-Integrator Dynamics

IEEE Transactions on Automatic Control · 2008 · Vol. 53(6) · pp. 1503–1509
Wei Ren

Abstract

This note considers consensus algorithms for double-integrator dynamics. We propose and analyze consensus algorithms for double-integrator dynamics in four cases: 1) with a bounded control input, 2) without relative velocity measurements, 3) with a group reference velocity available to each team member, and 4) with a bounded control input when a group reference state is available to only a subset of the team. We show that consensus is reached asymptotically for the first two cases if the undirected interaction graph is connected. We further show that consensus is reached asymptotically for the third case if the directed interaction graph has a directed spanning tree and the gain for velocity matching with the group reference velocity is above a certain bound. We also show that consensus is reached asymptotically for the fourth case if and only if the group reference state flows directly or indirectly to all of the vehicles in the team.

Distributed Control Multi-Agent SystemsReinforcement Learning in RoboticsAdvanced Control Systems OptimizationDouble integratorBounded functionIntegratorConsensusMathematicsConsensus algorithmDirected graphControl theory (sociology)Upper and lower boundsGraph
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1,409
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References
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IEEE Transactions on Automatic Control · 1986 · 2,013 citations
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On Consensus Algorithms for Double-Integrator Dynamics · Scinovex