Skip to main content

On the Structure of Minimal Markovian Representations

  • Chapter
Nonlinear Stochastic Problems

Part of the book series: NATO ASI Series ((ASIC,volume 104))

Abstract

The theory of Markovian Representation is set forth in an abstract Hilbert space setting. This enables us to completely characterize the set of all (finite or infinite-dimensional) Markovian Representations of a given (stationary) Gaussian process. The paper discusses when Markovian Representations can be studied by means of functional models in the Hardy space. It is shown that it is the case for all the Minimal Markovian Representations of a strictly noncyclic process. Hence, new results on their structure can be derived.

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 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
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.

Reference

  1. Douglas,R.G., Canonical ModelsJn Topics in Operator Theory, Math. Surveys No. 13, American Math. Society, Providence, 1974, pp. 161–218.

    Google Scholar 

  2. Fuhrmann,P.A., Linear Systems and Operators in Hilbert Space, Mc Graw-Hill, 1981.

    MATH  Google Scholar 

  3. Helton,J.W., Systems with Infinite-Dimensional State Space: The Hilbert Space Approach, Proc. IEEE, Trans. Autom. Cont., vol. 64, No. 1, January 1976, pp. 145–160.

    Google Scholar 

  4. Kalman,R.E., Lectures on Controllability and Observability, C.I.M.E. Summer Course, 1968, Cremonese, Roma, 1969, pp. 1–149.

    Google Scholar 

  5. Lax,P.D., and Phillips,R.S., Scattering Theory, Academic Press, 1967.

    MATH  Google Scholar 

  6. Lindquist,A., Mitter,S., and Picci,G., Toward a Theory of Nonlinear Stochastic Realization, in Feedback and Synthesis of Linear and Nonlinear Systems, Eds. D. Hinrichsen and A. Isidori, Springer Verlag.

    Google Scholar 

  7. Lindquist,A., Pavon,M., and Picci,G., Recent Trends in Stochastic Realization Theory, in Harmonic Analysis and Prediction Theory. The Masani Volume, Eds. V. Mandrekar and H. Salehi, North Holland.

    Google Scholar 

  8. Lindquist,A., and Picci,G., On a Condition for Minimality of Markovian Splitting Subspaces, Systems and Controls Letters, to be published.

    Google Scholar 

  9. Moore,B.,III, and Nordgren,E.A., On Quasi-Equivalence and Quasi-Similarity, Acta Sci. Math., vol. 34, 1973, pp. 311–316.

    MATH  Google Scholar 

  10. Neveu,J., Processus Aleatoires Gaussiens, Presses de I’Universite de Montreal, 1968.

    Google Scholar 

  11. Nordgren,E. A., On quasi-equivalence of matrices over H ∞, Acta Sci. Math., vol. 34, 1973, pp. 301–310.

    MathSciNet  Google Scholar 

  12. Rozanov,Yu.A., Stationary Random Processes, Holden Day, 1967.

    Google Scholar 

  13. Ruckebusch,G., Théorie Géométrique de la Représentation Markovienne, Ann. Inst. Henri Poincare, vol. 16,No. 3, 1980, pp. 225–297.

    Google Scholar 

  14. Ruckebusch G., Markovian Representation Theory and Hardy spaces, Proc. IEEE, International Symposium on Cifcuits and Systems, Rome, May 1982.

    Google Scholar 

  15. Ruckebusch,G., Markovian Representations and Spectral Factorizations of Stationary Gaussian Processes, in Harmonic Analysis and Prediction Theory The Masani Volume, Eds. V. Mandrekar and H. Salehi, North Holland.

    Google Scholar 

  16. Sz. Nagy,B., and Foias,C., Harmonic Analysis of Operators on Hilbert Space, North Holland, 1970.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1983 D. Reidel Publishing Comapany

About this chapter

Cite this chapter

Ruckebusch, G. (1983). On the Structure of Minimal Markovian Representations. In: Bucy, R.S., Moura, J.M.F. (eds) Nonlinear Stochastic Problems. NATO ASI Series, vol 104. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-7142-4_10

Download citation

  • DOI: https://doi.org/10.1007/978-94-009-7142-4_10

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-009-7144-8

  • Online ISBN: 978-94-009-7142-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics