Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Alexey Bobtsov"'
Autor:
Anton Pyrkin, Alexey Bobtsov, Romeo Ortega, Alexey Vedyakov, Dmitry Cherginets, Alexey Ovcharov, Dmitry Bazylev, Igor Petranevsky
Publikováno v:
IET Control Theory & Applications, Vol 15, Iss 4, Pp 604-616 (2021)
Abstract This paper is devoted to the application of a recently proposed globally convergent adaptive position observer to non‐salient permanent magnet synchronous motors. Following the Dynamic Regressor Extension and Mixing Based Adaptive Observer
Externí odkaz:
https://doaj.org/article/48b93e3977fe41339c9e30917249234b
PMU‐based decentralised mixed algebraic and dynamic state observation in multi‐machine power systems
Publikováno v:
IET Generation, Transmission & Distribution, Vol 14, Iss 25, Pp 6267-6275 (2020)
The authors propose a novel decentralised mixed algebraic and dynamic state observation method for multi‐machine power systems with unknown inputs and equipped with phasor measurement units (PMUs). More specifically, they prove that for the third
Externí odkaz:
https://doaj.org/article/4a5349c814aa4cb2a762fa8e1a975bef
A problem of performance enhancement for multiple frequencies estimation is studied. First, we consider a basic gradient-based estimation approach with global exponential convergence. Next, we apply dynamic regressor extension and mixing technique to
Externí odkaz:
http://arxiv.org/abs/1604.01928
A new way to design parameter estimators with enhanced performance is proposed in the paper. The procedure consists of two stages, first, the generation of new regression forms via the application of a dynamic operator to the original regression. Sec
Externí odkaz:
http://arxiv.org/abs/1509.02763
Publikováno v:
Systems & Control Letters, Volume 85, November 2015, Pages 84-94
A novel approach to the problem of partial state estimation of nonlinear systems is proposed. The main idea is to translate the state estimation problem into one of estimation of constant, unknown parameters related to the systems initial conditions.
Externí odkaz:
http://arxiv.org/abs/1508.03959
Publikováno v:
Journal of Dynamic Systems, Measurement and Control. :1-22
In this paper, we propose a globally stable adaptive controller for the human shank motion tracking problem that appears in neuromuscular electrical stimulation systems. The control problem is complicated by the fact that the mathematical model of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e331fb303e57e95c378e3bbce2284b5
https://doi.org/10.1115/1.4062617
https://doi.org/10.1115/1.4062617
Publikováno v:
2022 14th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a60b103f30c3831dcc56f5a4ce08e32c
https://doi.org/10.1109/icumt57764.2022.9943429
https://doi.org/10.1109/icumt57764.2022.9943429
Publikováno v:
14th IFAC Workshop on Adaptive and Learning Control Systems
14th IFAC Workshop on Adaptive and Learning Control Systems, Jun 2022, Casablanca, Morocco. pp.324-329, ⟨10.1016/j.ifacol.2022.07.332⟩
14th IFAC Workshop on Adaptive and Learning Control Systems, Jun 2022, Casablanca, Morocco. pp.324-329, ⟨10.1016/j.ifacol.2022.07.332⟩
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::460d9f111284a80f0efc1be54250cede
https://hal-centralesupelec.archives-ouvertes.fr/hal-03760730
https://hal-centralesupelec.archives-ouvertes.fr/hal-03760730
The problem of estimating constant parameters from a standard vector linear regression equation in the absence of sufficient excitation in the regressor is addressed. The first step to solve the problem consists in transforming this equation into a s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::431fced1634bc8da3c864b020715174c
http://hdl.handle.net/10044/1/95911
http://hdl.handle.net/10044/1/95911
Publikováno v:
Automatica. 149:110838
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::649835650091d2dbb911d916a57d8bf6
https://doi.org/10.1016/j.automatica.2022.110838
https://doi.org/10.1016/j.automatica.2022.110838