Parallel optimal control for weakly coupled bilinear systems using successive Galerkin approximation

Y. J. Kim, M. T. Lim

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

A new algorithm for the closed-loop parallel optimal control of weakly coupled bilinear systems with respect to performance criteria using the successive Galerkin approximation (SGA) is presented. From the spirit of the general weak coupling theory, the Hamilton-Jacobi-Bellman equation (HJB: which is related to optimal control problems) is decomposed into three independent HJB equations. The optimal control law consists of the solutions to sub-equations using the SGA method in parallel. The main contributions are as follows: (i) design of a closed-loop optimal control law for weakly coupled bilinear systems using the SGA method and (ii) reduction of the computational complexity when the SGA method is applied to the high-order systems.

Original languageEnglish
Pages (from-to)909-914
Number of pages6
JournalIET Control Theory and Applications
Volume1
Issue number4
DOIs
Publication statusPublished - 2007

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Control and Optimization
  • Electrical and Electronic Engineering

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