Zobrazeno 1 - 10
of 697
pro vyhledávání: '"Romeo Ortega"'
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
Autor:
Romeo Ortega, Emmanuel Nuño
Publikováno v:
Revista Iberoamericana de Automática e Informática Industrial RIAI, Vol 19, Iss 4, Pp 380-380 (2022)
Externí odkaz:
https://doaj.org/article/08ecd153f78b4f88b63c9bc13610968b
Publikováno v:
Modeling, Identification and Control, Vol 18, Iss 4, Pp 273-305 (1997)
In this paper we study the viability of extending, to the general rotating electric machine's model, the passivity-based controller method that we have developed for induction motors. In this approach the passivity (energy dissipation) properties of
Externí odkaz:
https://doaj.org/article/bbfcadd825ac489da14c63bb26bac703
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
Autor:
Bowen Yi, Romeo Ortega
Publikováno v:
IEEE Transactions on Automatic Control. 68:1253-1258
In this note we study the conditions for convergence of recently introduced dynamic regressor extension and mixing (DREM) parameter estimator when the extended regressor is generated using LTI filters. In particular, we are interested in relating the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6275f594bc5ce17433573b3806f78da6
https://doi.org/10.1109/tac.2022.3149964
https://doi.org/10.1109/tac.2022.3149964
Publikováno v:
IEEE Transactions on Power Electronics. 37:9187-9199
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa59381aae74e8ac1579748fc0267796
https://doi.org/10.1109/tpel.2022.3157853
https://doi.org/10.1109/tpel.2022.3157853