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Distributed and Time-Delayed -Winner-Take-All Network for Competitive Coordination of Multiple Robots<i/>

Long Jin, Siqi Liang, Xin Luo, MengChu Zhou

2022IEEE Transactions on Cybernetics59 citationsDOI

Abstract

In this article, a distributed and time-delayed k-winner-take-all (DT-kWTA) network is established and analyzed for competitively coordinated task assignment of a multirobot system. It is considered and designed from the following three aspects. First, a network is built based on a k-winner-take-all (kWTA) competitive algorithm that selects k maximum values from the inputs. Second, a distributed control strategy is used to improve the network in terms of communication load and computational burden. Third, the time-delayed problem prevalent in arbitrary causal systems (especially, in networks) is taken into account in the proposed network. This work combines distributed kWTA competition network with time delay for the first time, thus enabling it to better handle realistic applications than previous work. In addition, it theoretically derives the maximum delay allowed by the network and proves the convergence and robustness of the network. The results are applied to a multirobot system to conduct its robots' competitive coordination to complete the given task.

Topics & Concepts

Computer scienceRobustness (evolution)Task (project management)Distributed computingRobotConvergence (economics)Winner-take-allDistributed algorithmTelecommunications networkMathematical optimizationArtificial intelligenceArtificial neural networkComputer networkEngineeringMathematicsBiochemistryChemistrySystems engineeringEconomicsEconomic growthGeneDistributed Control Multi-Agent SystemsAdvanced Memory and Neural ComputingCerebrospinal fluid and hydrocephalus
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