Zobrazeno 1 - 10
of 2 631
pro vyhledávání: '"Glushchenko, A. A."'
In this paper we consider trajectory tracking problem for robotic systems affected by unknown external perturbations. Considering possible solutions, we restrict our attention to composite adaptation, which, particularly, ensures parametric error con
Externí odkaz:
http://arxiv.org/abs/2406.19838
A new adaptive observer is proposed for a certain class of nonlinear systems with bounded unknown input and parametric uncertainty. Unlike most existing solutions, the proposed approach ensures asymptotic convergence of the unknown parameters, state
Externí odkaz:
http://arxiv.org/abs/2403.13664
In the adaptive control theory, the dynamic regressor extension and mixing (DREM) procedure has become widespread as it allows one to describe a variety of adaptive control problems in unified terms of the parameter estimation problem of a regression
Externí odkaz:
http://arxiv.org/abs/2403.11076
Existing online continuous-time parameter estimation laws provide exact (asymptotic/exponential or finite/fixed time) identification of dynamical linear/nonlinear systems parameters only if the external perturbations are equaled to zero or independen
Externí odkaz:
http://arxiv.org/abs/2312.15631
Autor:
Glushchenko, Gennady N.
A novel very simple method for finding roots of polynomials over finite fields has been proposed. The essence of the proposed method is to search the roots via nested cycles over the subgroups of the multiplicative group of the Galois field. The modi
Externí odkaz:
http://arxiv.org/abs/2312.02579
Most identification laws of unknown parameters of linear regression equations (LRE) ensure only boundedness of a parametric error in the presence of additive perturbations, which is almost always unacceptable for practical scenarios. In this paper, a
Externí odkaz:
http://arxiv.org/abs/2310.14073
The problem of state reconstruction is considered for uncertain linear time-invariant systems with overparameterization, arbitrary state-space matrices and unknown additive perturbation described by an exosystem. A novel adaptive observer is proposed
Externí odkaz:
http://arxiv.org/abs/2308.10289
Limitations in creating artificial populations in agent-based epidemic modeling: a systematic review
Autor:
Irina I. Maslova, Aleksandr I. Manolov, Oksana E. Glushchenko, Ivan E. Kozlov, Vera I. Tsurkis, Nikolay S. Popov, Andrey E. Samoilov, Alexandr N. Lukashev, Elena N. Ilina
Publikováno v:
Журнал микробиологии, эпидемиологии и иммунобиологии, Vol 101, Iss 4, Pp 530-545 (2024)
Introduction. The key step in agent-based modeling of epidemics, which allows researchers to take into account individual characteristics of people, is the creation of an artificial population. The main difficulty of this procedure is finding a balan
Externí odkaz:
https://doaj.org/article/9c96d10dcc58477db7d9cccd5070cabe
Publikováno v:
RUDN Journal of World History, Vol 16, Iss 2, Pp 211-225 (2024)
The relevance of the research topic is due to the active development of the U.S.-South Korean relations and their impact on inter-Korean relations. The role of the United States in the foreign policy of the Republic of Korea is great which not only l
Externí odkaz:
https://doaj.org/article/667585cde4c745eb9e18c33fc377560e
The scope of this study is to develop a novel sensorless adaptive vibration suppression controller for two-mass systems with joint estimation of states and controller parameters. Unlike existing solutions, we simultaneously: (i) propose an analytical
Externí odkaz:
http://arxiv.org/abs/2303.13054