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- W2783750074 abstract "We consider the problem of steering the state of a group of agents with integrator dynamics to the solution of an optimization problem in the form of a sum of strictly convex separable functions, each available to an individual agent, with shared linear constraints. Under the assumption that the agents are capable of communicating over a network prescribed by a directed graph, not necessarily weight-balanced, we provide a procedure for designing a class of gradient-free distributed extremum seeking control laws that achieve this objective. The novelty of this procedure is in taking advantage of Lie brackets to generate a distributed dynamics that approximates the trajectories of the corresponding saddle-point dynamics, which is not necessarily distributed. Several examples illustrate our results." @default.
- W2783750074 created "2018-01-26" @default.
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- W2783750074 date "2017-12-01" @default.
- W2783750074 modified "2023-10-14" @default.
- W2783750074 title "Distributed extremum seeking over directed graphs" @default.
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- W2783750074 doi "https://doi.org/10.1109/cdc.2017.8263956" @default.
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