Weighted optimization for multiobjective full-information control problems

Sundeep Rangan, Kameshwar Poolla

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We consider a nonlinear multiobjective full-information optimal control problem, where a controller is to be designed such that a number of constraints are to be satisfied for all possible disturbances. We show that, under certain continuity assumptions, such a controller exists if and only if, for every weighted combination of the constraints, there exists a controller satisfying the weighted constraint. Our analysis is based extensively on nonlinear H dynamic programming methods.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Conference on Decision and Control
PublisherIEEE
Pages289-294
Number of pages6
Volume1
StatePublished - 1997
EventProceedings of the 1997 36th IEEE Conference on Decision and Control. Part 1 (of 5) - San Diego, CA, USA
Duration: Dec 10 1997Dec 12 1997

Other

OtherProceedings of the 1997 36th IEEE Conference on Decision and Control. Part 1 (of 5)
CitySan Diego, CA, USA
Period12/10/9712/12/97

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ASJC Scopus subject areas

  • Chemical Health and Safety
  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality

Cite this

Rangan, S., & Poolla, K. (1997). Weighted optimization for multiobjective full-information control problems. In Proceedings of the IEEE Conference on Decision and Control (Vol. 1, pp. 289-294). IEEE.