Skip to main content

Polynomial Approximation of Quasipolynomials Based on Digital Filter Design Principles

  • Conference paper
  • First Online:
Book cover Automation Control Theory Perspectives in Intelligent Systems (CSOC 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 466))

Included in the following conference series:

Abstract

This contribution is aimed at a possible procedure approximating quasipolynomials by polynomials. Quasipolynomials appear in linear time-delay systems description as a natural consequence of the use of the Laplace transform. Due to their infinite root spectra, control system analysis and synthesis based on such quasipolynomial models are usually mathematically heavy. In the light of this fact, there is a natural research endeavor to design a sufficiently accurate yet simple engineeringly acceptable method that approximates them by polynomials preserving basic spectral information. In this paper, such a procedure is presented based on some ideas of discrete-time (digital) filters designing without excessive math. Namely, the particular quasipolynomial is subjected to iterative discretization by means of the bilinear transformation first; consequently, linear and quadratic interpolations are applied to obtain integer powers of the approximating polynomial. Since dominant roots play a decisive role in the spectrum, interpolations are made in their very neighborhood. A simulation example proofs the algorithm efficiency.

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

Access this chapter

Institutional subscriptions

References

  1. Chiasson, J., Loiseau, J.J.: Applications of Time Delay Systems. Springer, New York (2007)

    Book  MATH  Google Scholar 

  2. Sipahi, R., Vyhlídal, T., Niculescu, S.-I., Pepe, P.: Time Delay Systems: Methods, Applications and New Trends. LNCIS, vol. 423. Springer, New York (2012)

    Google Scholar 

  3. Richard, J.P.: Time-Delay systems: an overview of some recent advances and open problems. Automatica 39, 1667–1694 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  4. Loiseau, J.J., Michiels, W., Niculescu, S.-I., Sipahi, R.: Topics in Time Delay Systems: Analysis, Algorithm and Control. LNCIS, vol. 388. Springer, Berlin (2009)

    Google Scholar 

  5. Hale, J.K., Verduyn Lunel, S.M.: Introduction to Functional Differential Equations. Applied Mathematical Sciences, vol. 99. Springer, New York (1993)

    Google Scholar 

  6. Zítek, P., Víteček, A.: Control Design of Time-Delay and Nonlinear Subsystems. CTU Publishing (1999) (in Czech)

    Google Scholar 

  7. Gu, K., Kharitonov, V.L., Chen, J.: Stability of Time-Delay Systems. Birkhäuser, Boston (2003)

    Book  MATH  Google Scholar 

  8. Breda, D., Maset, S., Vermiglio, R.: Pseudospectral differencing methods for characteristic roots of delay differential equations. SIAM J. Sci. Comput. 27, 482–495 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  9. Vyhlídal, T., Zítek, P.: Quasipolynomial mapping algorithm rootfinder for analysis of time delay systems. In: Proceedings of the 4th IFAC Workshop on Time-Delay Systems (TDS 2003). Rocquencourt, France (2003)

    Google Scholar 

  10. Vyhlídal, T., Zítek, P.: Mapping based algorithm for large-scale computation of quasipolynomial zeros. IEEE Trans. Autom. Control 54, 171–177 (2009)

    Article  MATH  Google Scholar 

  11. Vyhlídal, T., Zítek, P.: QPmR—Quasi-Polynomial Root-Finder: Algorithm Update and Examples. In: Vyhlídal, T., Lafay, J.-F., Sipahi, R. (eds.) Delay Systems: From Theory to Numerics and Applications, pp. 299–312. Springer, New York (2014)

    Chapter  MATH  Google Scholar 

  12. Partington, J.R.: Some frequency-domain approaches to the model reduction of delay systems. Ann. Rev. Control 28, 65–73 (2004)

    Article  Google Scholar 

  13. Pekař, L.: On a controller parameterization for infinite-dimensional feedback systems based on the desired overshoot. WSEAS Trans. Syst. 12, 325–335 (2013)

    Google Scholar 

  14. Seuret, A., Özbay, H., Bonnet, C., Mounier, H.: Low Complexity Controllers for Time Delay Systems. Advances in Delays and Dynamics, vol. 2. Springer, New York (2014)

    Google Scholar 

  15. Middleton, R.H., Goodwin, G.C.: Digital Control and Estimation: A Unified Approach. Prentice Hall, Detroit (1990)

    MATH  Google Scholar 

  16. Vyhlídal, T., Zítek, P.: Discrete Approximation of a Time Delay System and Delta Model Spectrum. In: Proceedings of the 16th IFAC World Congress, p. 636. IFAC, Prague (2005)

    Google Scholar 

  17. Oppenheim, A.: Discrete Time Signal Processing. Pearson Higher Education, Upper Saddle River, NJ (2010)

    Google Scholar 

  18. Vanbiervliet, T., Verheyden, K., Michiels, W., Vandewalle, S.: A nonsmooth optimization approach for the stabilization of time-delay systems. ESIAM Control Optim. Ca. 14, 478–493 (2008)

    MATH  Google Scholar 

  19. Balátě, J.: Automatic Control. BEN Publishing, Prague (2004). (in Czech)

    Google Scholar 

  20. Zítek, P., Kučera, V., Vyhlídal, T.: Meromorphic observer-based pole assignment in time delay systems. Kybernetika 44, 633–648 (2008)

    MathSciNet  MATH  Google Scholar 

  21. Pekař, L.: A Simple DDS Algorithm for TDS: An Example. In: Proceedings of the 29th European Conference on Modelling and Simulation (ECMS 2015), pp. 246–251. European Council for Modelling and Simulation (ECMS), Varna, Bulgaria (2015)

    Google Scholar 

Download references

Acknowledgments

The work was performed with the financial support by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme project No. LO1303 (MSMT-7778/2014) and also by the European Regional Development Fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Libor Pekař .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Pekař, L., Navrátil, P. (2016). Polynomial Approximation of Quasipolynomials Based on Digital Filter Design Principles. In: Silhavy, R., Senkerik, R., Oplatkova, Z.K., Silhavy, P., Prokopova, Z. (eds) Automation Control Theory Perspectives in Intelligent Systems. CSOC 2016. Advances in Intelligent Systems and Computing, vol 466. Springer, Cham. https://doi.org/10.1007/978-3-319-33389-2_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-33389-2_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33387-8

  • Online ISBN: 978-3-319-33389-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics