A note on monotone approximations of minimum and maximum functions and multi-objective problems

Dušan M. Stipanović, Claire J. Tomlin, George Leitmann

Research output: Contribution to journalArticlepeer-review

Abstract

In paper [12] the problem of accomplishing multiple objectives by a number of agents represented as dynamic systems is considered. Each agent is assumed to have a goal which is to accomplish one or more objectives where each objective is mathematically formulated using an appropriate objective function. Sufficient conditions for accomplishing objectives are formulated using particular convergent approximations of minimum and maximum functions depending on the formulation of the goals and objectives. These approximations are differentiable functions and they monotonically converge to the corresponding minimum or maximum function. Finally, an illustrative pursuit-evasion game example of a capture of two evaders by two pursuers is provided. This note presents a preview of the treatment in [12].

Original languageEnglish (US)
Pages (from-to)487-493
Number of pages7
JournalNumerical Algebra, Control and Optimization
Volume1
Issue number3
DOIs
StatePublished - Sep 1 2011

Keywords

  • Approximations of functions
  • Dynamic systems
  • Maximum function
  • Minimum function
  • Multiple objectives

ASJC Scopus subject areas

  • Algebra and Number Theory
  • Control and Optimization
  • Applied Mathematics

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