Solving linear quadratic optimal control problems by Chebyshev-based state parameterization

M. Nagurka, S. Wang, V. Yen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

A Chebyshev-based state representation method is developed for solving optimal control problems involving unconstrained linear time-invariant dynamic systems with quadratic performance indices. In this method, each state variable is represented by the superposition of a finite-term shifted Chebyshev series and a third-order polynomial. In contrast to solving a two-point boundary-value problem, the necessary condition of optimality is a system of linear algebraic equations which can be solved by a method such as Gaussian elimination. The results of simulation studies demonstrate that the proposed method offers computational advantages relative to a previous Chebyshev method and to a standard state transition method.

Original languageEnglish
Title of host publicationProceedings of the American Control Conference
PublisherPubl by American Automatic Control Council
Pages104-109
Number of pages6
ISBN (Print)0879425652, 9780879425654
DOIs
StatePublished - 1 Jan 1991
EventProceedings of the 1991 American Control Conference - Boston, MA, USA
Duration: 26 Jun 199128 Jun 1991

Publication series

NameProceedings of the American Control Conference
Volume1
ISSN (Print)0743-1619

Conference

ConferenceProceedings of the 1991 American Control Conference
CityBoston, MA, USA
Period26/06/9128/06/91

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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