论文信息 - On Least Squares and Regression Methods in Identification; A Survey of Progresses and Trends

On Least Squares and Regression Methods in Identification; A Survey of Progresses and Trends

Abstract This article demonstrates the application of the least squares technique for the estimation of dynamic system parameters. Analytic as well as numerical approaches are described. The mathematical model of the system is assumed in the form of a regression model. Solutions are discussed for the case of white noise and correlated noise corrupting the useful output signal of the system.

V. Strejc | V. Strejc

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