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One Improvement on Zonotope Guaranteed Parameter Estimation

Received: 16 December 2017    Accepted: 27 December 2017    Published: 16 January 2018
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Abstract

This paper studies the guaranteed state estimation in terms of zonotope, and does some improvements for nonlinear discrete time system with a bounded description of noise and parameters. Firstly we extend the Taylor series with respect to two variables so that the mean value extension which is used to compute an interval enclosure can be improved and extended. Secondly based on the improved mean value extension, a generalization of classical method is proposed as it considers uncertainty in the model of system. Thirdly we give one iterative process in one algorithm to obtain a bound of the exact uncertain state set. Finally the simulation example results confirm the identification theoretical results.

Published in Science Journal of Circuits, Systems and Signal Processing (Volume 6, Issue 5)
DOI 10.11648/j.cssp.20170605.11
Page(s) 44-49
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Nonlinear System, Set Membership Parameter Estimation, Zonotope

References
[1] M C Campi, G Calafiore. “Interval predictor models: identification and reliability,” Automatica, vol 45, no. 2, pp. 382-393, 2009.
[2] M C Campi, M Vidyasagar. “Learning with prior information,” IEEE Transaction on Automatic Control, vol 46, no. 11, pp. 1682-1694, 2001.
[3] M Vidyasagar, Rajeeva L Karandikar. “A learning theory approach to system identification and stochastic adaptive control,” Journal of Process Control, vol 18, no. 3, pp. 421-430, 2008.
[4] M C Campi, P R Kumar. “Learning dynamical systems in a stationary environment,” Systems & Control Letters, vol 34, no. 3, pp. 125-132, 1998.
[5] G Calafiore, M C Campi. “Uncertain convex programs: randomized solutions and confidence levels,” Mathematical Programming, vol 102, no. 11, pp. 25-46, 2005.
[6] M Milanese, C Novara. “Set membership identification of nonlinear systems,” Automatica, vol 40, no. 6, pp. 957-975, 2004.
[7] T Alamo, J M Bravo, E F Camacho. “Guaranteed state estimation by zonotopes,” Automatica, vol 41, no. 6, pp. 1035-1043, 2005.
[8] J M Bravo, T Alamo, E F Camacho. “Bounded error identification of systems with time varying parameters,” IEEE Transaction on Automatic Control, vol 51, no. 7, pp. 1144-1150, 2006.
[9] J M Bravo, A Suarez, M Vasallo. “Slide window bounded error tome varying systems identification,” IEEE Transaction on Automatic Control, vol 61, no. 8, pp. 2282-2287, 2016.
Cite This Article
  • APA Style

    Wang Jian-hong, Liu Fei-fei, Tang Yan-yuan. (2018). One Improvement on Zonotope Guaranteed Parameter Estimation. Science Journal of Circuits, Systems and Signal Processing, 6(5), 44-49. https://doi.org/10.11648/j.cssp.20170605.11

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    ACS Style

    Wang Jian-hong; Liu Fei-fei; Tang Yan-yuan. One Improvement on Zonotope Guaranteed Parameter Estimation. Sci. J. Circuits Syst. Signal Process. 2018, 6(5), 44-49. doi: 10.11648/j.cssp.20170605.11

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    AMA Style

    Wang Jian-hong, Liu Fei-fei, Tang Yan-yuan. One Improvement on Zonotope Guaranteed Parameter Estimation. Sci J Circuits Syst Signal Process. 2018;6(5):44-49. doi: 10.11648/j.cssp.20170605.11

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  • @article{10.11648/j.cssp.20170605.11,
      author = {Wang Jian-hong and Liu Fei-fei and Tang Yan-yuan},
      title = {One Improvement on Zonotope Guaranteed Parameter Estimation},
      journal = {Science Journal of Circuits, Systems and Signal Processing},
      volume = {6},
      number = {5},
      pages = {44-49},
      doi = {10.11648/j.cssp.20170605.11},
      url = {https://doi.org/10.11648/j.cssp.20170605.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cssp.20170605.11},
      abstract = {This paper studies the guaranteed state estimation in terms of zonotope, and does some improvements for nonlinear discrete time system with a bounded description of noise and parameters. Firstly we extend the Taylor series with respect to two variables so that the mean value extension which is used to compute an interval enclosure can be improved and extended. Secondly based on the improved mean value extension, a generalization of classical method is proposed as it considers uncertainty in the model of system. Thirdly we give one iterative process in one algorithm to obtain a bound of the exact uncertain state set. Finally the simulation example results confirm the identification theoretical results.},
     year = {2018}
    }
    

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    T1  - One Improvement on Zonotope Guaranteed Parameter Estimation
    AU  - Wang Jian-hong
    AU  - Liu Fei-fei
    AU  - Tang Yan-yuan
    Y1  - 2018/01/16
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    DO  - 10.11648/j.cssp.20170605.11
    T2  - Science Journal of Circuits, Systems and Signal Processing
    JF  - Science Journal of Circuits, Systems and Signal Processing
    JO  - Science Journal of Circuits, Systems and Signal Processing
    SP  - 44
    EP  - 49
    PB  - Science Publishing Group
    SN  - 2326-9073
    UR  - https://doi.org/10.11648/j.cssp.20170605.11
    AB  - This paper studies the guaranteed state estimation in terms of zonotope, and does some improvements for nonlinear discrete time system with a bounded description of noise and parameters. Firstly we extend the Taylor series with respect to two variables so that the mean value extension which is used to compute an interval enclosure can be improved and extended. Secondly based on the improved mean value extension, a generalization of classical method is proposed as it considers uncertainty in the model of system. Thirdly we give one iterative process in one algorithm to obtain a bound of the exact uncertain state set. Finally the simulation example results confirm the identification theoretical results.
    VL  - 6
    IS  - 5
    ER  - 

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Author Information
  • School of Electronic Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou, China

  • School of Electronic Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou, China

  • School of Electronic Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou, China

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