Design of minimax robust LQG controllers under parameter and noise uncertainties

Research output: Journal article publicationJournal articleAcademic researchpeer-review

5 Citations (Scopus)

Abstract

The problem of design of minimax robust LQG controllers for linear systems with parameter and noise uncertainties is considered in this paper. Necessary and sufficient conditions for converting this problem to a two‐person, zero‐sum continuous game problem are presented. A simple procedure for design of a suboptimal minimax robust LQG controller, i.e., the LQG controller for least‐favourable model, is proposed. Necessary and sufficient conditions for the existence of a saddle point are established. Under these conditions, the controller obtained is exactly the minimax LQG controller. When there does not exist a saddle point, the worst‐case error between the controller obtained and the minimax robust LQG controllers under described uncertainties is bounded.

Original languageEnglish
Pages (from-to)713-722
Number of pages10
JournalInternational Journal of Robust and Nonlinear Control
Volume4
Issue number5
DOIs
Publication statusPublished - 1994

Keywords

  • Game theory
  • Minimax optimization
  • Robust control
  • Stochastic control systems

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Chemical Engineering
  • Biomedical Engineering
  • Aerospace Engineering
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Design of minimax robust LQG controllers under parameter and noise uncertainties'. Together they form a unique fingerprint.

Cite this