An algorithm for mixed H 2 /H robust controllers that satisfy variance constraints

Riyanto T. Bambang, E. Shimemura, Kenko Uchida

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

1 Citation (Scopus)

Abstract

In this paper an iterative procedure is developed for synthesizing mixed H 2 /H robust controllers that satisfy output variance constraints. In this synthesis problem, we seek control-laws for linear systems that minimize an upperbound on a quadratic performance subject to both H -norm and output variance constraints under the presence of structured uncertainties. The approach taken in this paper is to convert the problem into an equivalent nonlinear programming with both equality and inequality constraints. Kuhn Tucker optimality condition is employed in order to obtain first order necessary condition for a regular point that minimizes an upperbound on quadratic performance for the given H -norm and variance constraints. Based on this condition, an iterative algorithm for synthesizing the controllers is developed. To demonstrate the effectiveness of the algorithm, an illustrative example is presented. Dual problem that imposes constraints on input variance, is also discussed.

Original languageEnglish
Title of host publicationProceedings of the 1st IEEE Conference on Control Applications, CCA 1992
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages281-286
Number of pages6
ISBN (Electronic)0780300475, 9780780300477
DOIs
Publication statusPublished - 1992 Jan 1
Event1st IEEE Conference on Control Applications, CCA 1992 - Dayton, United States
Duration: 1992 Sept 121992 Sept 16

Publication series

NameProceedings of the 1st IEEE Conference on Control Applications, CCA 1992

Conference

Conference1st IEEE Conference on Control Applications, CCA 1992
Country/TerritoryUnited States
CityDayton
Period92/9/1292/9/16

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Optimization
  • Computer Science (miscellaneous)
  • Control and Systems Engineering
  • Aerospace Engineering
  • Industrial and Manufacturing Engineering

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