PMU‐based decentralised mixed algebraic and dynamic state observation in multi‐machine power systems

Autor: Nicolai Lorenz‐Meyer, Alexey Bobtsov, Romeo Ortega, Nikolay Nikolaev, Johannes Schiffer

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

Performance Enhancement of Parameter Estimators via Dynamic Regressor Extension and Mixing

Autor: Stanislav, Aranovskiy, Alexey, Bobtsov, Romeo, Ortega, Anton, Pyrkin

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

A Globally Stable Adaptive Controller For The Human Shank Dynamics

Autor: Romeo Ortega, Alexey Bobtsov, Marcio de Queiroz, Ruzhou Yang, Nikolay Nikolaev

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

A Modification of Generalized Parameter-Based Adaptive Observer for Linear Systems with Relaxed Excitation Conditions*

Autor: Alexey Bobtsov, Anton Pyrkin, Alexey Vedyakov, Anastasiia Vediakova, Stanislav Aranovskiy

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⟩

International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::460d9f111284a80f0efc1be54250cede
https://hal-centralesupelec.archives-ouvertes.fr/hal-03760730

Generation of new exciting regressors for consistent on-line estimation of unknown constant parameters

Autor: Alexey Bobtsov, Bowen Yi, Romeo Ortega, Alessandro Astolfi

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