Development of linear quadratic control laws via control parametrization

Mark L. Nagurka, Vincent Yen

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

A control parametrization approach for determining the near optimal solution of linear quadratic (LQ) problems is developed. By assuming each control variable to be piecewise continuous, the proposed approach converts an LQ problem into an unconstrained quadratic programming problem. The near optimal control response can then be determined by solving a system of linear algebraic equations. The control parametrization approach can eliminate the major repetitive computations in designing an LQ control law, a process that often involves multiple adjustments of different weighting matrices. This feature makes the proposed approach a computationally attractive tool for LQ controller design. Simulation studies show that the control parametrization approach is particularly well suited for large scale systems that possess a small control/state dimension ratio.

Original languageEnglish
Pages (from-to)2125-2139
Number of pages15
JournalInternational Journal of Systems Science
Volume23
Issue number12
DOIs
StatePublished - 1 Jan 1992
Externally publishedYes

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications

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