Iwscff-2015 -xx-xx Feedback-based Inhomogeneous Markov Chain Approach to Probabilistic Swarm Guidance

Abstract

This paper presents a novel and generic distributed swarm guidance algorithm using inhomogeneous Markov chains that guarantees superior performance over existing homogeneous Markov chain based algorithms, when the feedback of the current swarm distribution is available. The probabilistic swarm guidance using inhomogeneous Markov chain (PSG–IMC) algorithm… (More)

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