Skip to main content
Log in

Statistical and Nonstatistical Methods for Estimating the Impulse Characteristic of a Dynamical System

  • DATA PROCESSING AND IDENTIFICATION
  • Published:
Journal of Computer and Systems Sciences International Aims and scope

Abstract

We consider the problem of estimating the impulse characteristic of a linear time-invariant discrete-time dynamical system, using data on its input and output signals. We propose versions of estimation methods for asymptotically stable dynamical systems in the context of various approaches to the presentation of parametric uncertainty, including approaches based on the interval analysis and the fuzzy set theory. A comparative analysis and numerical illustration of the methods are presented.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

REFERENCES

  1. R. Kalman, P. Falb, and M. Arbib, Topics in Mathematical System Theory (McGraw-Hill, New York, 1969).

    MATH  Google Scholar 

  2. L. Ljung, System Identification: Theory for the User (Pearson, Upper Saddle River, 1998).

    MATH  Google Scholar 

  3. L. Jaulin, M. Kieffer, O. Didrit, and E. Walter, Applied Interval Analysis: With Examples in Parameter and State Estimation, Robust Control and Robotics (Springer, London, 2001).

    Book  Google Scholar 

  4. K. Asai, D. Watada, S. Iwai, et al., Applied Fuzzy Systems (Academic, New York, 2014).

    Google Scholar 

  5. S. G. Pushkov, State-Space Representation of Dynamical Systems: Exact and Approximate Realization (AltGTU, Barnaul, 2003) [in Russian].

  6. S. G. Pushkov, “On one approach to the description of an observable process by a linear dynamic system,” J. Comput. Syst. Sci. Int. 40 (1), 34–39 (2001).

    MathSciNet  MATH  Google Scholar 

  7. S. G. Pushkov and S. Yu. Krivoshapko, “On problem of realization in state space for interval dynamic systems,” Vychisl. Tekhnol. 9 (1), 75–85 (2004).

    MATH  Google Scholar 

  8. V. A. Kozhukhar’ and S. G. Pushkov, “On one method of the state space realization of dynamical systems over the triangular fuzzy numbers,” Vychisl. Tekhnol. 15 (2), 31–40 (2010).

    MATH  Google Scholar 

  9. Trends and Progress in System Identification, Ed. by P. Eykhoff (Elsevier, Amsterdam, 1981).

    MATH  Google Scholar 

  10. G. Alefeld and Ju. Herzberger, Introduction to Interval Computation (Academic Press, New York, 1983).

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. G. Pushkov.

Additional information

Translated by L. Kartvelishvili

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pushkov, S.G. Statistical and Nonstatistical Methods for Estimating the Impulse Characteristic of a Dynamical System. J. Comput. Syst. Sci. Int. 60, 192–201 (2021). https://doi.org/10.1134/S1064230721020118

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S1064230721020118

Navigation