Identification with Data Selection using Relative Conforming Estimate Criterion

V.A. Fursov and A.V. Gavrilov (Russia)


Estimate, Identification, Adaptive Control Systems,Optimization, Linear Equations System.


In this paper we consider the problem of estimation of the controlled object model. Because the object is under control the decision should be made using a small number of observations. We develop an approach based on the conforming estimates principle. This approach involves a more realistic formulation of the problem in comparison with the approach adopted in the theory of statistical estimation.

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