Title :
Genetic algorithm for input/output selection in MIMO systems based on controllability and observability indices
Author :
Zhang, Min ; Yeung, Lam ; Jiang, Yingtao
Author_Institution :
Nortel Networks, Ottawa, Ont., Canada
fDate :
9/12/2002 12:00:00 AM
Abstract :
A time domain optimisation algorithm using a genetic algorithm in conjunction with a linear search scheme has been developed to find the smallest or near-smallest subset of inputs and outputs to control a multi-input-multi-output system. Experimental results have shown that this proposed algorithm has a very fast convergence rate and high computation efficiency
Keywords :
MIMO systems; control system analysis; controllability; convergence of numerical methods; genetic algorithms; multivariable control systems; observability; time-domain analysis; MIMO systems; controllability indices; genetic algorithm; high computation efficiency; input/output selection; linear search scheme; multi-input-multi-output system; multivariable control systems; near-smallest subset; observability indices; smallest subset; time domain optimisation algorithm; very fast convergence;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20020765
