Averaging of a class of singularly perturbed control systems: a non-asymptotic result

Vladimir Gaitsgory, Ilya Shvartsman

Research output: Contribution to journalArticlepeer-review

Abstract

We study a singularly perturbed control system whose variables are decomposed into groups that change their values with rates of different orders of magnitude. We establish that the slow trajectories of this system are dense in the set of solutions of a certain differential inclusion and discuss an implication of this result for optimal control.

Original languageEnglish (US)
Pages (from-to)661-673
Number of pages13
JournalMathematics of Control, Signals, and Systems
Volume36
Issue number3
DOIs
StatePublished - Sep 2024

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Signal Processing
  • Control and Optimization
  • Applied Mathematics

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