Identification of Continuous Time-Delay Systems Using the Genetic Algorithm

This paper proposes a novel method of identification of continuous time-delay systems from sampled input-output data. By the aid of a digital pre-filter, an approximated discrete-time estimation model is first derived, in which the system parameters remain in their original form and the time-delay n...

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Bibliographic Details
Published inTransactions of the Institute of Systems, Control and Information Engineers Vol. 7; no. 4; pp. 113 - 121
Main Authors HACHINO, Tomohiro, YANG, Zi-Jiang, TSUJI, Teruo
Format Journal Article
LanguageJapanese
Published THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE) 15.04.1994
Subjects
continuous-system
genetic algorithm
identification
sampled data
time-delay system
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Summary:This paper proposes a novel method of identification of continuous time-delay systems from sampled input-output data. By the aid of a digital pre-filter, an approximated discrete-time estimation model is first derived, in which the system parameters remain in their original form and the time-delay need not be multiples of the sampling period. Then an identification method combining the genetic algorithm (GA) with the common linear least squares (LS) method or the instrumental variable (IV) method is proposed. That is, the time-delay is selected by the GA, and the system parameters are estimated by the LS or IV method. Furthermore, the proposed method is extended to the case of multi-input multi-output systems where the time-delays in the individual input channels may differ each other. Simulation results show that our method yields consistent estimates even in the presence of high measurement noises.
ISSN:1342-5668
2185-811X
DOI:10.5687/iscie.7.113