Title :
Experimental design theoretic genetic algorithm for input-output block assignment problem
Author :
Yeung, L.F. ; Chan, K.Y. ; Wu, A.
Author_Institution :
City Univ. of Hong Kong, China
Abstract :
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 experimental design theoretic genetic algorithm is developed to solve this hard IP problem
Keywords :
controllability; decentralised control; genetic algorithms; matrix algebra; observability; block-diagonal decentralized form; controllability; decentralized control systems; design theoretic genetic algorithm; input-output block assignment problem; observability; optimal input-output pairing techniques; system decomposition; Control systems; Design for experiments; Distributed control; Electrical equipment industry; Frequency measurement; Genetic algorithms; Industrial control; MIMO; Observability; Open loop systems;
Conference_Titel :
Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-7061-9
DOI :
10.1109/.2001.980808
