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System science methodology in global modelling: System identification

  • A. V. Balakrishnan
Conference paper
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 19)

Keywords

Flight Test Unknown System Parameter Kalman Filter Estimate Comprehensive Sensitivity Analysis Elevator Deflection 
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.

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References

  1. 1.
    D.L. Meadows: The Dynamics of Global Equilibrium, in International Seminar on Trends in Mathematical Modelling, Lecture Notes in Economics and Mathematical Systems, Vol. 80, Springer-Verlag, 1973.Google Scholar
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    M. Mesarovic and E. Pestel: Mankind at the Turning Point, New American Library, New Jersey, 1976. (Non-scientific, popular account)Google Scholar
  3. 3.
    P. Eykhoff: System Identification: Parameter and State Estimation, John Wiley, London, 1974.Google Scholar
  4. 4.
    M. Intrilligator: Econometric Models, Techniques and Applications, Prentice-Hall, 1978.Google Scholar
  5. 5.
    P.J. Vermeulen and D.C.J. de Jongh: Growth in a Finite World, a Comprehensive Sensitivity Analysis, Automatica, Vol. 13, 1977.Google Scholar
  6. 6.
    M. Liebenberg, et al: A Quarterly Econometric Model of the United States: A Progress Report, Survey of Current Business, May, 1966.Google Scholar
  7. 7.
    A.V. Balakrishnan: Techniques of System Identification, Rome, 1968.Google Scholar
  8. 8.
    K.W. Iliff: Identification and Stochastic Control with Application to Flight Control in Turbulence, Dissertation, UCLA, 1973.Google Scholar

Copyright information

© Springer-Verlag 1979

Authors and Affiliations

  • A. V. Balakrishnan
    • 1
  1. 1.School of Engineering and Applied ScienceUniversity of CaliforniaLos Angeles

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