Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Jindřich Duník"'
Publikováno v:
Sensors, Vol 24, Iss 18, p 6132 (2024)
Hybrid physics-based data-driven models, namely, augmented physics-based models (APBMs), are capable of learning complex state dynamics while maintaining some level of model interpretability that can be controlled through appropriate regularizations
Externí odkaz:
https://doaj.org/article/b53356ac5c9e4337a4a8f6cb6aa39049
Publikováno v:
Energies, Vol 13, Iss 16, p 4080 (2020)
The paper deals with the Bayesian state estimation of nonlinear stochastic dynamic systems. The stress is laid on the point-mass filter, solving the Bayesian recursive relations for the state estimate conditional density computation using the determi
Externí odkaz:
https://doaj.org/article/cdfdbc17730144b49b4a3f8bd4193bf4
Publikováno v:
IFAC-PapersOnLine. 54:316-321
ento článek se zabývá identifikací šumů lineárních časově invariantních dynamických stochastických systémů diskrétních v čase. Důraz je kladen na zjistění počtu odhadnutelných prvků kovariančních matic stavového šumu a š
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b61776e2395f74540b82b2a55aedafc4
https://doi.org/10.1016/j.ifacol.2021.08.378
https://doi.org/10.1016/j.ifacol.2021.08.378
Publikováno v:
Lecture Notes in Control and Information Sciences-Proceedings ISBN: 9783030853174
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::844b77d9c104d32d181890c71aea99e4
https://doi.org/10.1007/978-3-030-85318-1_64
https://doi.org/10.1007/978-3-030-85318-1_64
Publikováno v:
IET Signal Processing. 12:1073-1081
Transformation of a random variable is a common need in a design of many algorithms in signal processing, automatic control, and fault detection. Typically, the design is tied to an assumption on a probability density function of the random variable,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::398819edf028f041602ea0faa5930adb
https://doi.org/10.1049/iet-spr.2017.0286
https://doi.org/10.1049/iet-spr.2017.0286
Publikováno v:
Signal Processing. 192:108367
This paper deals with the state estimation of the nonlinear stochastic dynamic discrete-in-time models by a numerical solution to the Bayesian recursive relations represented by the point-mass filter (PMF). In particular, emphasis is placed on the de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5081ee74518d6d7577c23ab3cd84f744
https://doi.org/10.1016/j.sigpro.2021.108367
https://doi.org/10.1016/j.sigpro.2021.108367
Publikováno v:
Energies
Volume 13
Issue 16
Energies, Vol 13, Iss 4080, p 4080 (2020)
Volume 13
Issue 16
Energies, Vol 13, Iss 4080, p 4080 (2020)
Článek je věnován odhadu stavu nelineárních stochastických dynamických systémů. Důraz je v článku kladen na filtr bodových mas, tento filtr řeší bayesovské rekurzivní vztahy za použití deterministických integračních metod na m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9382a2b1f2bc5fc2031869ddbceb0bb
Článek je identifikaci popisu poruch stochastického dynamického systému, který je popsán stavovým model. Důraz je kladen na systémy, kde poruchy lze popsat hustotou pravěpodobnosti ve formě Gaussovských součtů. Navržená identifikačn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51d2071ede6d0dd8f0b4fb2f35e482cb
http://hdl.handle.net/11025/47123
http://hdl.handle.net/11025/47123
Publikováno v:
Automatica. 90:16-24
The paper deals with the estimation of the process and measurement noise covariance matrices of a system described by the linear time-varying state–space model. In particular, the stress is laid on the correlation methods and a novel method, the me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64731336b8f6d4718e148ee79fd8ef22
https://doi.org/10.1016/j.automatica.2017.12.040
https://doi.org/10.1016/j.automatica.2017.12.040
Publikováno v:
IFAC-PapersOnLine. 51:891-896
The paper deals with the estimation of the moments and parameters of the state and measurement noises of a system described by a linear time-varying state-space model. In particular, a novel correlation measurement difference method is designed. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df497f299919048c7b1a638b6dd56c75
https://doi.org/10.1016/j.ifacol.2018.09.107
https://doi.org/10.1016/j.ifacol.2018.09.107