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Algorithms for adaptive identification of parameters of stochastic control objects.

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Kimyoviy texnologiya. Nazorat va boshqaruv

Kimyoviy texnologiya. Nazorat va boshqaruv

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Algorithms for adaptive identification of parameters of stochastic control objects are given. The task of identifying a managed object is reduced to the task of estimating the parameters of the regression model on the basis of the generalized least-squares method. Algorithms for the sustainable estimation of object parameters on the basis of stable recurrent procedures are presented. These algorithms allow us to effectively calculate the desired parameters of an identified object under the conditions of the time correlation of the noise acting on the object.

AUTHORS

Y.Yusupov

FFTUIT

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# стохастик бошқариш объекти# умумлашган кичик квадратлар усул# регрессион модель# рекуррент баҳолаш# адаптив идентификациялаш# стохастический объект управления# обобщенный метод наименьших квад# регрессионная модель# рекуррентное оценивание# адаптивная идентификация# stochastic control object# generalized least-squares method# regression model# recurrent estimation# adaptive identification

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Article Identifiers

ROI:

https://eroi.uz/11.0008/A0120-0035

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Not Available

References

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