Experimental design theoretic genetic algorithm for input-output block assignment problem

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)22_Publication in policy or professional journal

5 Scopus Citations
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  • L. F. Yeung
  • K. Y. Chan
  • A. Wu

Related Research Unit(s)


Original languageEnglish
Pages (from-to)4049-4050
Journal / PublicationProceedings of the IEEE Conference on Decision and Control
Publication statusPublished - 2001


Title40th IEEE Conference on Decision and Control (CDC)
PlaceUnited States
Period4 - 7 December 2001


In this paper, a procedure for system decomposition is developed for decentralized control systems. Optimal input-output pairing techniques are used to rearrange a large system into a structure that is closer to the block-diagonal decentralized form. The problem is transformed into a block-assignment problem. A new and efficient genetic algorithm based on experimental design theoretic is developed to solve this hard IP problem.