Identification of systems subject to random state disturbance

  • A. V. Balakrishnan
System Modeling And Identification
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3)


A theory of identification of a class of linear systems — lumped and distributed — in the presence of state or process noise. As a specific application, the problem of of identifying aircraft stability — control derivatives in turbulence is considered, and results obtained on actual flight data are included.


Wiener Process Positive Definiteness Flight Control Flight Data Volterra Operator 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Forrester, J.W.: “World Dynamics,” Wright-Allen Press, 1971.Google Scholar
  2. 2.
    Proceedings of the Second IFAC Symposium on Identification and Process Parameter Estimation, Prague, Czechoslovakia, June 1970.Google Scholar
  3. 3.
    Balakrishnan, A.V.: Identification and Adaptive Control: An Application to Flight Control Systems, Journal of Optimization Theory and Applications, March 1972.Google Scholar
  4. 4.
    Balakrishnan, A.V.: Identification and Adaptive Control of Non-dynamic Systems, Proceedings of the Third IFAC Symposium on Identification and Process Parameter Estimation, June 1973.Google Scholar
  5. 5.
    Gohberg, I., and Krein, M.G.: Volterra Operators, AMS Translations, 1970.Google Scholar
  6. 6.
    Balakrishnan, A.V.: On the Approximation of Ito Integrals using Band-limited Processes (to be published, SIAM Journal on Control, February 1974).Google Scholar
  7. 7.
    Balakrishnan, A.V.: Modelling and Identification Theory: A Flight Control Application, in “Theory and Applications of Variable Structure Systems,” Academic Press, 1972.Google Scholar
  8. 8.
    Balakrishnan, A.V.: Stochastic Differential Systems, Vol. 84, Lecture Notes on Economics and Mathematical Systems, Springer-Verlag, 1973.Google Scholar
  9. 9.
    Balakrishnan, A.V.: “System Theory and Stochastic Optimization,” in “Network and Signal Theory,” Peter Peregrinns Ltd., 1972.Google Scholar
  10. 10.
    Balakrishnan, A.V.: Introduction to Optimization Theory in a Hilbert Space, Lecture Notes on Operations Research and Mathematical Systems, Vol. 42, Springer Verlag, 1971.Google Scholar
  11. 11.
    Iliff, K.W.: Identification and Stochastic Control, An Application to Flight Control in Turbulence, UCLA Ph.D Dissertation, 1973.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1973

Authors and Affiliations

  • A. V. Balakrishnan
    • 1
  1. 1.Department of System ScienceUniversity of CaliforniaLos Angeles

Personalised recommendations