Markov Chain Approach to Probabilistic Guidance for Swarms of Autonomous Agents

DOI10.1002/asjc.982zbMath1338.93010OpenAlexW1521448640MaRDI QIDQ2813952

Behçet Açıkmeşe, David S. Bayard

Publication date: 17 June 2016

Published in: Asian Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/asjc.982

zbMATH Keywords

Markov chainsprobabilistic methodsswarm control

Mathematics Subject Classification ID

Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Decentralized systems (93A14) Agent technology and artificial intelligence (68T42)

Related Items (5)

Bounding fixed points of set-based Bellman operator and Nash equilibria of stochastic games ⋮ Safe Metropolis-Hastings algorithm and its application to swarm control ⋮ Udwadia-Kalaba constraint-based tracking control for artificial swarm mechanical systems: dynamic approach ⋮ Unnamed Item ⋮ Distributed Control for Spatial Self-Organization of Multi-agent Swarms

Uses Software

• SDPT3

Cites Work

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