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

Author

Hsu, Chen-Chien ; Wang, Wei-Yen ; Yu, Chih-Yung

Author_Institution

Dept. of Electron. Eng., St. John´´s & St. Mary´´s Inst. of Technol., Taipei, Taiwan

Volume

1

fYear

2002

Firstpage

443

Lastpage

448

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

Keywords

continuous time systems; control theory; discrete systems; genetic algorithms; accuracy; chromosomes; continuous systems; discrete approximation; discretization; enhanced digital integrators; genetic algorithm-derived digital integrators; root mean squared error; Algorithm design and analysis; Biological cells; Continuous time systems; Control systems; Digital signal processing; Function approximation; Genetic algorithms; Information science; Signal processing algorithms; Stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on

Print_ISBN

0-7803-7282-4

Type

conf

DOI

10.1109/CEC.2002.1006275

Filename

1006275