This paper utilizes genetic algorithms (GAs) to convert a continuous-time u
ncertain system with input time delay to an equivalent discrete-time interv
al model. Also, the GAs are used to find the interval control law for a sam
pled-data uncertain system with input time delay. The developed discrete-ti
me interval model match closely the exact discrete-time uncertain system wi
th input time delay. Based on the principle of equivalent areas and GAs, a
new implementable digital control law, taking into account the intersample
behavior and implementation errors, is developed for digital control of the
input time-delay continuous-time uncertain system so that the states of th
e digitally controlled sampled-data uncertain system optimally match those
of the originally well-designed continuous-time uncertain system. (C) 2001
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