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Robust controller design for discrete unstable non-minimum-phase delayed stochastic processes

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  • Control Theory
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Abstract

Control of unstable non-minimum-phase delayed stochastic processes is a challenging problem. In this work based on the Diophantine equation and using pole-placement technique, a discrete control scheme for such processes has been proposed. Robust stability of the suggested control structure has been shown. Advantages of the proposed scheme over the existing algorithms have been shown through computer simulations. It has been shown that performance of the proposed scheme for handling model mismatch and colored noise is superior to the previous work proposed in the literature.

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Authors and Affiliations

  1. Department of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran

    Sabereh Rezaei & Mohammad Shahrokhi

Authors
  1. Sabereh Rezaei
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  2. Mohammad Shahrokhi
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Correspondence to Mohammad Shahrokhi.

Additional information

Recommended by Editorial Board member Young Ik Son under the direction of Editor Yoshito Ohta.

Sabereh Rezaei received her B.Sc. degree in Chemical Engineering from Sharif University of Technology, Iran and her M.Sc. degree in Chemical Engineering (Process Simulation and Control) from Sharif University of Technology, in 2006 and 2009, respectively. Her research interests include process control.

Mohammad Shahrokhi received his B.Sc. degree in Chemical Engineering from Sharif University of Technology and his Ph.D. degree from Wisconsin University in the same field, in 1977 and 1981, respectively. From 1981 to 1988 he worked as a faculty member of Chem. Eng. Dept. of Isfahan University of Technology and in 1988 he joined Sharif University of Technology where he is currently working as professor of Chemical Engineering at the Department of Chem. & Petrol. Engineering. His research interest is process control especially adaptive control.

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Rezaei, S., Shahrokhi, M. Robust controller design for discrete unstable non-minimum-phase delayed stochastic processes. Int. J. Control Autom. Syst. 11, 893–902 (2013). https://doi.org/10.1007/s12555-012-0184-0

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  • DOI: https://doi.org/10.1007/s12555-012-0184-0

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