The overwhelming majority of optimality principles in multicriterial optimal control theory do not satisfy the condition of strong dynamic stability or strong time-consistency. Only principles based on making the criteria scalar are the exception. A method for regularizing the familiar optimality principles by expanding them is proposed, and provides strong dynamic stability. The idea of the method consists of attaching to the set of optimal trajectories all the possible envelopes for the families of optimal trajectories in the current multicriterial optimal control subproblems.

Original languageEnglish
Pages (from-to)146-150
Number of pages5
JournalJournal of Computer and Systems Sciences International
Volume32
Issue number2
StatePublished - 1 Mar 1994

    Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Theoretical Computer Science
  • Information Systems
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Applied Mathematics

ID: 36952085