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Title: Genetic algorithms-derived digital integrators and their applications in discretization of continuous systems
Authors: 國立臺灣師範大學電機工程學系
C.-C. Hsu
W.-Y. Wang
C.-Y. Yu
Issue Date: 1-Jan-2002
Abstract: A set of enhanced digital integrators (EDI) with improved accuracy via 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.
Other Identifiers: ntnulib_tp_E0604_02_079
Appears in Collections:教師著作

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