Genetic algorithm for input/output selection in MIMO systems based on controllability and observability indices

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

2 Scopus Citations
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Author(s)

  • Min Zhang
  • Lam Yeung
  • Yingtao Jiang

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)1150-1151
Journal / PublicationElectronics Letters
Volume38
Issue number19
Publication statusPublished - 12 Sep 2002

Abstract

The input/output selection in multi-input-multi-output (MIMO) systems based on controllability and observability indices were investigated by using genetic algorithms. The two approaches which were considered for multivariable control systems were reduction of size and decomposition into smaller subsystems. The results showed that the proposed algorithms possessed very fast convergence rate and high computation efficiency.

Citation Format(s)

Genetic algorithm for input/output selection in MIMO systems based on controllability and observability indices. / Zhang, Min; Yeung, Lam; Jiang, Yingtao.

In: Electronics Letters, Vol. 38, No. 19, 12.09.2002, p. 1150-1151.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review