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Parameter bounding for time-varying systems

Author

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  • Norton, J.P.
  • Mo, S.H.

Abstract

The computation of parameter bounds for models of linear, time-varying systems is considered. Three methods are discussed, all with counterparts in conventional least-squares or statistical parameter estimation: fixed-memory bounding, scalar bound inflation and bound incrementing. Their computational needs are examined, and some results from artificial and real records are presented.

Suggested Citation

  • Norton, J.P. & Mo, S.H., 1990. "Parameter bounding for time-varying systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 32(5), pages 527-534.
    • Handle: RePEc:eee:matcom:v:32:y:1990:i:5:p:527-534
    DOI: 10.1016/0378-4754(90)90008-7
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    References listed on IDEAS

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    1. Mo, S.H. & Norton, J.P., 1990. "Fast and robust algorithm to compute exact polytope parameter bounds," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 32(5), pages 481-493.
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    Cited by:

    1. Walter, Eric & Piet-Lahanier, Hélène, 1990. "Estimation of parameter bounds from bounded-error data: a survey," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 32(5), pages 449-468.
    2. S.M. Veres, 2002. "Error Control in Polytope Computations," Journal of Optimization Theory and Applications, Springer, vol. 113(2), pages 325-355, May.

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