A non-iterative method for identification and control of continuous-time wiener processes

Shyh Hong Hwang, Ho Tsen Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This article presents a non-iterative method to identify a continuous-time Wiener model. The key idea is to describe the linear dynamics by a Laguerre expansion and approximate the static nonlinearity by an inverse polynomial function. The resulting least-squares estimator of the Laguerre and polynomial coefficients is thus obtainable in a non-iterative manner. To improve the estimation accuracy of both linear and nonlinear parts, an error criterion is developed to infer the proper values of the time-scaling factor and output reference value, which are crucial to the effectiveness of the Laguerre expansion and the polynomial function, respectively. The identified Wiener model can be easily employed to design a nonlinear controller for the Wiener process. It is demonstrated that the identification and control method is valid for a wide range of test conditions and process nonlinearities.

Original languageEnglish
Title of host publicationProceedings of the 12th IASTED International Conference on Control and Applications, CA 2010
Pages523-529
Number of pages7
Publication statusPublished - 2010 Dec 1
Event12th IASTED International Conference on Control and Applications, CA 2010 - Banff, AB, Canada
Duration: 2010 Jul 152010 Jul 17

Publication series

NameProceedings of the 12th IASTED International Conference on Control and Applications, CA 2010

Other

Other12th IASTED International Conference on Control and Applications, CA 2010
CountryCanada
CityBanff, AB
Period10-07-1510-07-17

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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