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Wyszukujesz frazę "linear estimation" wg kryterium: Temat


Wyświetlanie 1-4 z 4
Tytuł:
On fault tolerant control structures incorporating fault estimation
Autorzy:
Krokavec, D.
Filasová, A.
Liščinský, P.
Powiązania:
https://bibliotekanauki.pl/articles/229298.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
linear systems
fault tolerant control
fault estimation
linear matrix inequalities
H∞ norm
H2/H∞ control strategy
Opis:
The paper provides the minimal necessary modifications of linear matrix inequality conditions for the mixed H2/H∞ control design as well as for the augmented observer-based fault estimation to be mutually compatible in joint design of integrated fault estimation and fault tolerant control. To be possible, within this integration, to design the controller which guarantees a pre-specified H∞ norm disturbance attenuation level, the design conditions has to be regularized using the H2 performance index and, moreover, augmented fault observer must be of enforced dynamics. Analyzing the ambit of performances given on the mixed H2/H∞ design, the joint design conditions are formulated as a minimization problem subject to convex constraints expressed by a system of LMIs. The feasibility of the conditions is demonstrated by a numerical example.
Źródło:
Archives of Control Sciences; 2016, 26, 4; 453-469
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Novel optimal recursive filter for state and fault estimation of linear stochastic systems with unknown disturbances
Autorzy:
Khémiri, K.
Ben Hmida, F.
Ragot, J.
Gossa, M.
Powiązania:
https://bibliotekanauki.pl/articles/930170.pdf
Data publikacji:
2011
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
filtracja Kalmana
estymacja stanu
zakłócenie nieznane
system liniowy
system dyskretno-czasowy
Kalman filtering
minimum variance estimation
state estimation
fault estimation
unknown disturbances
linear discrete time systems
Opis:
This paper studies recursive optimal filtering as well as robust fault and state estimation for linear stochastic systems with unknown disturbances. It proposes a new recursive optimal filter structure with transformation of the original system. This transformation is based on the singular value decomposition of the direct feedthrough matrix distribution of the fault which is assumed to be of arbitrary rank. The resulting filter is optimal in the sense of the unbiased minimum-variance criteria. Two numerical examples are given in order to illustrate the proposed method, in particular to solve the estimation of the simultaneous actuator and sensor fault problem and to make a comparison with the existing literature results.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2011, 21, 4; 629-637
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Distributed fault estimation of multi-agent systems using a proportional-integral observer: A leader-following application
Autorzy:
Farrera, Beltrán
López-Estrada, Francisco-Ronay
Chadli, Mohammed
Valencia-Palomo, Guillermo
Gómez-Peñate, Samuel
Powiązania:
https://bibliotekanauki.pl/articles/330554.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
multiagent systems
fault estimation
state observer
fault observer
linear matrix inequalities
system wieloagentowy
estymacja błędu
obserwator stanu
liniowe nierówności macierzowe
Opis:
This paper proposes a methodology for observer-based fault estimation of leader-following linear multi-agent systems subject to actuator faults. First, a proportional-integral distributed fault estimation observer is developed to estimate both actuator faults and states of each follower agent by considering directed and undirected graph topologies. Second, based on the proposed quadratic Lyapunov equation, sufficient conditions for the asymptotic convergence of the observer are obtained as a set of linear matrix inequalities. Finally, a numerical example is provided to illustrate the proposed approach.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2020, 30, 3; 551-560
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A fault estimation and fault-tolerant control based sliding mode observer for LPV descriptor systems with time delay
Autorzy:
Hamdi, Habib
Rodrigues, Mickael
Rabaoui, Bouali
Benhadj Braiek, Naceur
Powiązania:
https://bibliotekanauki.pl/articles/1838208.pdf
Data publikacji:
2021
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
fault estimation
fault-tolerant control
LPV descriptor system
sliding mode observer
time delay
LMIs
linear matrix inequalities
estymacja błędu
sterowanie odporne na uszkodzenia
sterowanie ślizgowe
liniowa nierówność macierzowa
Opis:
This paper considers the problem of fault-tolerant control (FTC) and fault reconstruction of actuator faults for linear parameter varying (LPV) descriptor systems with time delay. A polytopic sliding mode observer (PSMO) is synthesized to achieve simultaneous reconstruction of LPV polytopic descriptor system states and actuator faults. Exploiting the reconstructed actuator faults and state estimates, a fault-tolerant controller is designed to compensate the impact of actuator faults on system performance by stabilizing the closed-loop LPV delayed descriptor system. Besides, the controller and PSMO gains are obtained throughout the resolution of linear matrix inequalities (LMIs) using convex optimization techniques. The developed PSMO could force the output estimation error to converge to zero in a finite time when the actuators faults are bounded through the reinjection of the output estimation error via a nonlinear switching term. Simulation results applied to a given numerical system are presented to highlight the superiority and effectiveness of the proposed approach.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2021, 31, 2; 247-258
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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