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Optimal allocation of heterogeneous resources in cooperative control scenarios

  • Brandon J. Moore
  • , Jorge Finke
  • , Kevin M. Passino

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

This paper introduces a mathematical framework for the study of resource allocation problems involving the deployment of heterogeneous agents to different teams. In this context, the term heterogeneous is used to describe classes of agents that differ in the basic functions they can perform (e.g., one type of agent searches for targets while another type engages those targets). The problem is addressed in terms of optimization using concepts from economic theory and the proposed algorithm was designed to ensure asymptotic stability of the optimal solution.

Original languageEnglish
Pages (from-to)711-715
Number of pages5
JournalAutomatica
Volume45
Issue number3
DOIs
StatePublished - Mar 2009
Externally publishedYes

Keywords

  • Constrained optimization
  • Convex optimization
  • Cooperative control
  • Dynamic optimization

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