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Identification of discrete linear scalar systems by minimisation of a parametric norm

Identification of discrete linear scalar systems by minimisation of a parametric norm

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A structural distance between a scalar process and its model is introduced, and it is shown that it can be used to advantage for identification. Although this distance is not known, it can be minimised by a particular algorithm. Examples of application and an appraisal of this method are given.

References

    1. 1)
      • Rault, A., Richalet, J., Pouliquen, R.: `Identification and sensitivity', Proceedings of the 2nd IFAC symposium on sensitivity and adaptivity, 1968, .
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