Skip to main content

A New Method for Inner Estimation of Solution Sets to Interval Linear Systems

  • Chapter
  • First Online:
Book cover Modeling, Design, and Simulation of Systems with Uncertainties

Part of the book series: Mathematical Engineering ((MATHENGIN,volume 3))

Abstract

For an interval system of linear equations Ax = b, we consider the problem of inner estimation of its solution set, formed by all the solutions to point systems Ax= b with AA and bb. The so-called “center approach” to the problem is developed when the inner interval box is constructed around an a priori known center point from the solution set. Determining the size of the inner box is shown to be reduced to a maximization problem for a special quasiconcave objective function.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Alefeld, G., Herzberger, J.: Introduction to Interval Computations. Academic Press, New York (1983)

    MATH  Google Scholar 

  2. Bazaraa, M.S., Shetti, C.M.: Nonlinear Programming. Theory and Algorithms. John Wiley and Sons, New York (1979).

    MATH  Google Scholar 

  3. Cope, J., Rust, B.: Bounds on solutions of linear systems with inaccurate data. SIAMJ. Numer. Anal. 16, 950–963 (1979)

    Article  MathSciNet  MATH  Google Scholar 

  4. Dobronets, B.S., Shaidurov, V.V.: Two-sided Numerical Methods. Nauka, Novosibirsk (1990) (in Russian)

    MATH  Google Scholar 

  5. Hansen, E.R., Walster, G.W.: Global Optimization Using Interval Analysis. Marcel Dekker, New York (2003)

    Google Scholar 

  6. Kearfott, R.B., Nakao, M.T., Neumaier, A., Rump, S.M., Shary, S.P., van Hentenryck, P.: Standardized notation in interval analysis. Comput. Technol. 15, No. 1, 7–13 (2010) (an earlier electronic version of the paper is downloadable from URL http://www.nsc.ru/interval/INotation.pdf)

    Google Scholar 

  7. Kreinovich, V., Lakeyev, A., Rohn, J., Kahl, P.: Computational Complexity and Feasibility of Data Processing and Interval Computations. Kluwer, Dordrecht (1997).

    Google Scholar 

  8. Kupriyanova, L.: Inner estimation of the united solution set of interval linear algebraic system. Reliab. Comput. 1, No. 1, 15–31 (1995)

    Google Scholar 

  9. Moore, R.E., Kearfott, R.B., Cloud, M.J.: Introduction to Interval Analysis. SIAM, Philadelphia (2009)

    Book  MATH  Google Scholar 

  10. Neumaier, A.: Interval Methods for Systems of Equations. Cambridge Univ. Press, Cambridge (1990)

    MATH  Google Scholar 

  11. Oettli,W.: On the solution set of a linear system with inaccurate coefficients. SIAM J. Numer. Anal. 2, No. 1, 115–118 (1965)

    Google Scholar 

  12. Rex, G., Rohn, J.: Sufficient conditions for regularity and singularity of interval matrices. SIAM J. Matr. Anal. Appls. 20, 437–445 (1999)

    Article  MathSciNet  Google Scholar 

  13. Rohn, J.: Input-output planning with inexact data. Freiburger Intervall-Berichte 78/9, 1–16 (1978)

    Google Scholar 

  14. Shary, S.P.: On characterization of the united solution set to interval linear algebraic systems. Krasnoyarsk, 1990. 20 p. Deposited in VINITI, No. 726-B91. (in Russian)

    Google Scholar 

  15. Shary, S.P.: Linear static systems under interval uncertainty: algorithms to solve control and stabilization problems. In: Kreinovich, V. (ed.) Int. J. of Reliab. Comput. Supplement. Extended Abstracts of APIC’95, Int. Workshop on Applications of Interval Computations, El Paso, TX, Feb. 23-25, 1995, pp. 181–184. El Paso, University of Texas at El Paso, 1995, (an electronic version of the paper is downloadable from URL http://www.nsc.ru/interval/shary/Papers/ElPaso.pdf

    Google Scholar 

  16. Shary, S.P.: Solving the linear interval tolerance problem. Math. Comput. Simul. 39, 53–85 (1995)

    Article  MathSciNet  Google Scholar 

  17. Shary, S.P.: Algebraic approach to the interval linear static identification, tolerance and control problems, or One more application of Kaucher arithmetic. Reliab. Comput. 2, No. 1, 3–33 (1996)

    Google Scholar 

  18. Shary, S.P.: A new technique in systems analysis under interval uncertainty and ambiguity. Reliab. Comput. 8, No. 5, 321–418 (2002)

    Google Scholar 

  19. Smagina, Ye., Brewer, I.: Using interval arithmetic for robust state feedback design. Syst. & Control Lett. 46, 187–194 (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sergey P. Shary .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Shary, S.P. (2011). A New Method for Inner Estimation of Solution Sets to Interval Linear Systems. In: Rauh, A., Auer, E. (eds) Modeling, Design, and Simulation of Systems with Uncertainties. Mathematical Engineering, vol 3. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15956-5_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-15956-5_2

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15955-8

  • Online ISBN: 978-3-642-15956-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics