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of 133
pro vyhledávání: '"Petrov, Vladislav"'
In this research we consider linear time-invariant plants and assume that the regressor finite excitation requirement is met. In such case, a new law to adjust the controller parameters, which ensures the exponential stability of the classical dynami
Externí odkaz:
http://arxiv.org/abs/2203.06964
A problem of identification of piecewise-constant unknown parameters of a linear regression equation (LRE) is considered. Such parameters change their values over the interval of the regressor finite (rather than persistent) excitation. To solve it,
Externí odkaz:
http://arxiv.org/abs/2106.02108
The method of excitation normalization of the regressor, which is used in the estimation loop to solve the plant identification problem, is proposed. It is based on the dynamic regressor extension and mixing procedure. Its application allows to obtai
Externí odkaz:
http://arxiv.org/abs/2105.00231
The known dynamic regressor extension and mixing method (DREM) is combined with the proposed filter of a new type, which uses the integration operation with forgetting, and the recursive least-squares method to develop the new I-DREM model reference
Externí odkaz:
http://arxiv.org/abs/2102.10785
This paper proposes a new method to provide the exponential convergence of both the parameter and tracking errors of the composite adaptive control system without the persistent excitation (PE) requirement. Instead, the derived composite adaptive law
Externí odkaz:
http://arxiv.org/abs/2102.10359
The scope of this research is a problem of parameters identification of a linear time-invariant (LTI) plant, which 1) input signal is not frequency-rich, 2) is subjected to initial conditions and external disturbances. The memory regressor extension
Externí odkaz:
http://arxiv.org/abs/2009.14496
Autor:
Osipov, Vladislav Sergeyevich, Nazaralieva, Djumkhurat Abduselimovna, Magomedova, Zulfiya Shafievna, Badenova, Madina Abaevna, Petrov, Vladislav Victorovich, Pliev, Tamerlan Bashirovich, Musakhanova, Anetta Akhsharonovna
Publikováno v:
Revista Latinoamericana de Hipertension; 2024, Vol. 19 Issue 10, p422-428, 7p
Publikováno v:
In Procedia Computer Science 2021 186:202-209
Autor:
Petrov, Vladimir G., Vlasova, Irina E., Rodionova, Anastasiya A., Yapaskurt, Vasily O., Korolev, Vadim V., Petrov, Vladislav A., Poluektov, Valery V., Hammer, Jörg, Kalmykov, Stepan N.
Publikováno v:
In Applied Geochemistry January 2019 100:90-95
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