A New Condition for Convergence in Continuous-Time Consensus Seeking Systems
Author(s)Hendrickx, Julien; Tsitsiklis, John N.
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We consider continuous-time consensus seeking systems whose time-dependent interactions are cut-balanced, in the following sense: if a group of agents influences the remaining ones, the former group is also influenced by the remaining ones by at least a proportional amount. Models involving symmetric interconnections and models in which a weighted average of the agent values is conserved are special cases. We present a result guaranteeing the convergence of every cut-balanced system, and giving a sufficient condition on the evolving interaction topology for the limit values of two agents to be the same. This condition is also necessary up to a zero-measure subset of the initial conditions. Using the fact that our convergence requires no additional condition, we show that it also applies to systems where the agent connectivity and interactions are random, or endogenous, that is, determined by the agent values. We also derive corresponding results for discrete-time systems.
DepartmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC), 2011
Institute of Electrical and Electronics Engineers (IEEE)
Hendrickx, Julien M., and John N. Tsitsiklis. “A New Condition for Convergence in Continuous-time Consensus Seeking Systems.” 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC), 2011. 5070–5075.
Author's final manuscript