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Calculation of feedback gains for an optimal controller

  • Rutgers - The State University of New Jersey, New Brunswick

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

This paper presents a numerical algorithm for solving non-linear algebraic equations generated in an optimization problem in which the sum of a quadratic performance criterion and the H2-norm of the closed-loop transfer function from a Gaussian white noise stochastic disturbance to the state space variables of a linear time invariant system is minimized. The proposed algorithm is given in terms of algebraic Lyapunov equations. It is shown in this paper that this algorithm converges to the local minimum under non-restrictive, control theory and applications-oriented assumptions, stabilizability and detectability.

Original languageEnglish
Pages (from-to)581-584
Number of pages4
JournalProceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering
Volume223
Issue number4
DOIs
StatePublished - 2009
Externally publishedYes

Keywords

  • Gaussian white noise stochastic disturbance
  • Linear-quadratic regulator

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