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Optimal Configurations in Coverage Control with Polynomial Costs

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arxiv 1801.10285 v1 pith:TB7KWALA submitted 2018-01-31 cs.SY cs.SYmath.AGmath.OC

classification cs.SYmath.AGmath.OC
keywords polynomialcontrolcoveragenumericalproblemundervehiclesalgebraic
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We revisit the static coverage control problem for placement of vehicles with simple motion on the real line, under the assumption that the cost is a polynomial function of the locations of the vehicles. The main contribution of this paper is to demonstrate the use of tools from numerical algebraic geometry, in particular, a numerical polynomial homotopy continuation method that guarantees to find all solutions of polynomial equations, in order to characterize the \emph{global minima} for the coverage control problem. The results are then compared against a classic distributed approach involving the use of Lloyd descent, which is known to converge only to a local minimum under certain technical conditions.

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Cited by 1 Pith paper

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  1. Distributed Adaptive Coverage Control of Differential Drive Robotic Sensors

    eess.SY 2019-08 conditional novelty 5.0 of 10

    The authors show how to pose coverage deployment as L2 matching of a target density by an aggregate sensing function, derive adaptive and directed-consensus control laws, and validate them on physical differential-dri...

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