A set of enhanced digital integrators (EDI) with improved accuracy using genetic algorithms are proposed in this paper. By specifying a desired power for the integrator to be sought and the interval for comparison, chromosomes consisting of parameters of the enhanced digital integrator are then searched by the genetic algorithm based on root mean squared (RMS) error between the original integrator and candidates of the enhanced digital integrator. Thus, all the best parameters of an optimal enhanced digital integrator can be evolutionarily obtained. To demonstrate the effectiveness of the proposed approach, the derived enhanced digital integrators are used to obtain the discrete approximation for continuous systems.
|Number of pages||6|
|Publication status||Published - 2002 Jan 1|
|Event||2002 Congress on Evolutionary Computation, CEC 2002 - Honolulu, HI, United States|
Duration: 2002 May 12 → 2002 May 17
|Other||2002 Congress on Evolutionary Computation, CEC 2002|
|Period||2002/05/12 → 2002/05/17|
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