Approximate Dynamic Programming Methods for Cooperative Uav Search

نویسندگان

  • Matthew Flint
  • Emmanuel Fernandez
چکیده

This paper considers the decentralized dynamic programming path planning decision processes of multiple cooperating autonomous aerial vehicles (UAVs) engaged in a search of an uncertain environment. However, what sets this paper apart from previous work is that a functional approximation is used for the dynamic programming (DP) cost-to-go function, resulting in improved quality of the decisions made while retaining computationally feasibility. Some of the effects of the changes are measured by simulation analysis, and the results are presented. Copyright c ©2005 IFAC

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تاریخ انتشار 2005