Standard

Continuous Time Observers of Nonlinear Systems with Data-Rate Constraints. / Voortman, Quentin; Pogromsky, Alexander; Matveev, Alexey; Nijmeijer, Henk.

в: IFAC-PapersOnLine, Том 51, № 33, 01.01.2018, стр. 192-197.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

Harvard

Voortman, Q, Pogromsky, A, Matveev, A & Nijmeijer, H 2018, 'Continuous Time Observers of Nonlinear Systems with Data-Rate Constraints', IFAC-PapersOnLine, Том. 51, № 33, стр. 192-197. https://doi.org/10.1016/j.ifacol.2018.12.116

APA

Voortman, Q., Pogromsky, A., Matveev, A., & Nijmeijer, H. (2018). Continuous Time Observers of Nonlinear Systems with Data-Rate Constraints. IFAC-PapersOnLine, 51(33), 192-197. https://doi.org/10.1016/j.ifacol.2018.12.116

Vancouver

Voortman Q, Pogromsky A, Matveev A, Nijmeijer H. Continuous Time Observers of Nonlinear Systems with Data-Rate Constraints. IFAC-PapersOnLine. 2018 Янв. 1;51(33):192-197. https://doi.org/10.1016/j.ifacol.2018.12.116

Author

Voortman, Quentin ; Pogromsky, Alexander ; Matveev, Alexey ; Nijmeijer, Henk. / Continuous Time Observers of Nonlinear Systems with Data-Rate Constraints. в: IFAC-PapersOnLine. 2018 ; Том 51, № 33. стр. 192-197.

BibTeX

@article{97b611f11e44427f99bdf3667e6c2630,
title = "Continuous Time Observers of Nonlinear Systems with Data-Rate Constraints",
abstract = "In this paper, we present the design of a non-classical observer that constructs estimates of the state of continuous nonlinear systems at remote locations. The system is connected to the remote location through a communication channel which can only transmit limited amounts of data per unit of time. The observer is designed with the objective that it is as data-efficient as possible whilst possessing a certain robustness towards communication losses without any feedback in the communication channel. We provide bounds for the sufficient data-rate to implement the observer. We apply the theory to the problem of observing the Lorenz system over a channel with minimal data-rates.",
keywords = "Continuous systems, Limited data rate, Nonlinear systems, Observers, State estimation",
author = "Quentin Voortman and Alexander Pogromsky and Alexey Matveev and Henk Nijmeijer",
note = "Funding Information: ★★ This paper was elaborated in the UCoCoS project which has ★This paper was elaborated in the UCoCoS project which has recTeihviesdpfaupnedrinwgafsroemlabthoeraEteudropineatnheUnUioCno{\textquoteright}Cs oHSorpizroonjec2t02w0hriecsheahrcahs r★eceived funding from the European Union{\textquoteright}s Horizon 2020 research rencdeiivnendovfuatnidoinngprforgormamthmeeEuunrdoepretahne UMnairoine{\textquoteright}sSkH{\l}oodriozwonsk2a0-C20urrieesegararcnht and innovation programme under the Marie Sk{\l}odowska-Curie grant anrdeeinmneonvtatNioon6p7r5o0g8r0a.mme under the Marie Sk{\l}odowska-Curie grant aandgreeinmneonvtatNoion675080.programme under the Marie Sk{\l}odowska-Curie grant agreement No 675080. agreement No 675080. Publisher Copyright: {\textcopyright} 2018 Copyright: Copyright 2019 Elsevier B.V., All rights reserved.",
year = "2018",
month = jan,
day = "1",
doi = "10.1016/j.ifacol.2018.12.116",
language = "English",
volume = "51",
pages = "192--197",
journal = "IFAC-PapersOnLine",
issn = "2405-8971",
publisher = "Elsevier",
number = "33",

}

RIS

TY - JOUR

T1 - Continuous Time Observers of Nonlinear Systems with Data-Rate Constraints

AU - Voortman, Quentin

AU - Pogromsky, Alexander

AU - Matveev, Alexey

AU - Nijmeijer, Henk

N1 - Funding Information: ★★ This paper was elaborated in the UCoCoS project which has ★This paper was elaborated in the UCoCoS project which has recTeihviesdpfaupnedrinwgafsroemlabthoeraEteudropineatnheUnUioCno’Cs oHSorpizroonjec2t02w0hriecsheahrcahs r★eceived funding from the European Union’s Horizon 2020 research rencdeiivnendovfuatnidoinngprforgormamthmeeEuunrdoepretahne UMnairoine’sSkHłoodriozwonsk2a0-C20urrieesegararcnht and innovation programme under the Marie Skłodowska-Curie grant anrdeeinmneonvtatNioon6p7r5o0g8r0a.mme under the Marie Skłodowska-Curie grant aandgreeinmneonvtatNoion675080.programme under the Marie Skłodowska-Curie grant agreement No 675080. agreement No 675080. Publisher Copyright: © 2018 Copyright: Copyright 2019 Elsevier B.V., All rights reserved.

PY - 2018/1/1

Y1 - 2018/1/1

N2 - In this paper, we present the design of a non-classical observer that constructs estimates of the state of continuous nonlinear systems at remote locations. The system is connected to the remote location through a communication channel which can only transmit limited amounts of data per unit of time. The observer is designed with the objective that it is as data-efficient as possible whilst possessing a certain robustness towards communication losses without any feedback in the communication channel. We provide bounds for the sufficient data-rate to implement the observer. We apply the theory to the problem of observing the Lorenz system over a channel with minimal data-rates.

AB - In this paper, we present the design of a non-classical observer that constructs estimates of the state of continuous nonlinear systems at remote locations. The system is connected to the remote location through a communication channel which can only transmit limited amounts of data per unit of time. The observer is designed with the objective that it is as data-efficient as possible whilst possessing a certain robustness towards communication losses without any feedback in the communication channel. We provide bounds for the sufficient data-rate to implement the observer. We apply the theory to the problem of observing the Lorenz system over a channel with minimal data-rates.

KW - Continuous systems

KW - Limited data rate

KW - Nonlinear systems

KW - Observers

KW - State estimation

UR - http://www.scopus.com/inward/record.url?scp=85059130913&partnerID=8YFLogxK

U2 - 10.1016/j.ifacol.2018.12.116

DO - 10.1016/j.ifacol.2018.12.116

M3 - Article

AN - SCOPUS:85059130913

VL - 51

SP - 192

EP - 197

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

SN - 2405-8971

IS - 33

ER -

ID: 36616526