Brief paper: Optimal allocation of heterogeneous resources in cooperative control scenarios

  • Authors:

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

  • Affiliations:

  • Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH 43210, United States;Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH 43210, United States;Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH 43210, United States

  • Venue:
  • Automatica (Journal of IFAC)
  • Year:
  • 2009

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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.