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.
|出版狀態||已發佈 - 2002 一月 1|
|事件||2002 Congress on Evolutionary Computation, CEC 2002 - Honolulu, HI, 美国|
持續時間: 2002 五月 12 → 2002 五月 17
|其他||2002 Congress on Evolutionary Computation, CEC 2002|
|期間||02/5/12 → 02/5/17|
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