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Finite horizon minimax optimal control of nonlinear continuous time systems with stochastic uncertainty

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review

8 Citations (Scopus)

Abstract

This paper develops a general continuous-time stochastic framework for robustness analysis and robust control synthesis. We consider a stochastic minimax optimization problem for general stochastic uncertain systems. A general method is presented for converting problems of performance analysis or controller synthesis into unconstrained optimization problems.

Original languageEnglish
Title of host publicationProceedings of the IEEE Conference on Decision and Control
Pages2265-2270
Number of pages6
Volume3
Publication statusPublished - 1997
Externally publishedYes
EventProceedings of the 1997 36th IEEE Conference on Decision and Control. Part 1 (of 5) - San Diego, CA, USA
Duration: 10 Dec 1997 → 12 Dec 1997

Publication series

NameProceedings of the IEEE Conference on Decision and Control
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISSN (Print)0191-2216

Conference

ConferenceProceedings of the 1997 36th IEEE Conference on Decision and Control. Part 1 (of 5)
CitySan Diego, CA, USA
Period10/12/97 → 12/12/97

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