Identification of Continuous-Time Systems via Genetic Algorithm

Kazunari Inoue; Gan Chen; Hiroshi Shibata

doi:10.11499/sicep.2002.0.440.0

SICE Annual Conference 2002

DOI https://doi.org/10.11499/sicep.2002.0.440.0

Conference information

Host: The Society of Instrument and Control Engineers

Co-host: IEEE/Industiral Electronic Society, IEEE/Robotics and Automation Society, IEEE/Control System Society

Identification of Continuous-Time Systems via Genetic Algorithm

Kazunari Inoue, Gan Chen, Hiroshi Shibata

Author information

Keywords: System Identification, Continuous Systems, Genetic Algorithm

CONFERENCE PROCEEDINGS FREE ACCESS

Pages 440

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Abstract

In this paper, we propose an identification method for continuous-time systems by Genetic Algorithm. It is well known that PEM is conventionally used as a identification method, however, it is applicable only to discrete-time models. By introducing Genetic Algorithm, the proposed method is applicable to continuous-time models. Through identifying a continuous-time model, we discuss problems in the PEM and availability of the proposed method.

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