Genetic algorithm-derived digital integrators and their applications in discretization of continuous systems

Research output: Contribution to conferencePaper

7 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages443-448
Number of pages6
DOIs
Publication statusPublished - 2002 Jan 1
Event2002 Congress on Evolutionary Computation, CEC 2002 - Honolulu, HI, United States
Duration: 2002 May 122002 May 17

Other

Other2002 Congress on Evolutionary Computation, CEC 2002
CountryUnited States
CityHonolulu, HI
Period02/5/1202/5/17

ASJC Scopus subject areas

  • Software

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    Hsu, C. C., Wang, W. Y., & Yu, C. Y. (2002). Genetic algorithm-derived digital integrators and their applications in discretization of continuous systems. 443-448. Paper presented at 2002 Congress on Evolutionary Computation, CEC 2002, Honolulu, HI, United States. https://doi.org/10.1109/CEC.2002.1006275