Zobrazeno 1 - 10
of 67
pro vyhledávání: '"M.H.G. Verhaegen"'
Publikováno v:
IEEE Transactions on Signal Processing. 60:5064-5076
Detection of faults that appear as additive unknown input signals to an unknown LTI discrete-time MIMO system is considered. State of the art methods consist of the following steps. First, either the state space model or certain projection matrices a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::277d35db229e4a0eac083c45b0fa23f4
https://doi.org/10.1109/tsp.2012.2208638
https://doi.org/10.1109/tsp.2012.2208638
Publikováno v:
IFAC Proceedings Volumes. 45:1749-1754
This paper presents a Basis Pursuit DeNoising (BPDN) sparse estimation approach as a regularization technique in a predictor-based subspace method for the identification of Linear Parameter-Varying (LPV) state-space systems. It is known that in this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfc37e408796021d18b7f5b524846725
https://doi.org/10.3182/20120711-3-be-2027.00158
https://doi.org/10.3182/20120711-3-be-2027.00158
Publikováno v:
IEEE Transactions on Control Systems Technology. 20:934-949
A novel recursive predictor-based subspace identification method is presented to identify linear time-invariant systems with multi inputs and multi outputs. The method is implemented in real-time and is able to operate in open loop or closed loop. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9d96b62be0f050124e56eadcd7f6dba
https://doi.org/10.1109/tcst.2011.2157694
https://doi.org/10.1109/tcst.2011.2157694
Autor:
M.H.G. Verhaegen, Xiukun Wei
Publikováno v:
International Journal of Adaptive Control and Signal Processing. 25:114-136
This paper addresses the mixed ℋ−/ℋ∞ fault detection observer design issue for a class of linear parameter-varying (LPV) systems. Analogous to the definition of the quadratic ℋ∞ performance for LPV systems and the ℋ− index for linear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f95b04b821bb3102c01e4c75f4d852e3
https://doi.org/10.1002/acs.1184
https://doi.org/10.1002/acs.1184
Publikováno v:
IFAC Proceedings Volumes. 43:299-305
Closed-loop adaptive optics (AO) systems are widely used in many scientific and medical applications, such as astronomy, laser systems and microscopy, to improve the resolution of the image by actively sensing and correcting the optical aberration in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be42a5d35a085cba48ae3de4c3994a42
https://doi.org/10.3182/20100913-3-us-2015.00079
https://doi.org/10.3182/20100913-3-us-2015.00079
Publikováno v:
IEEE Transactions on Control Systems Technology. 16:381-395
Adaptive optics (AO) is used in ground-based astronomical telescopes to improve the resolution by counteracting the effects of atmospheric turbulence. Most AO systems are based on a simple control law that neglects the temporal evolution of the disto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a39e27c986d9cce08419830a0badc313
https://doi.org/10.1109/tcst.2007.903374
https://doi.org/10.1109/tcst.2007.903374
Publikováno v:
IFAC Proceedings Volumes. 41:8866-8871
In this paper we present a closed-loop LPV identification algorithm that uses a periodic scheduling sequence to identify the rotational dynamics of a wind turbine. In the algorithm we assume that the system undergoes the same time variation several t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b694d34995d9cfb04e51cf4f2463219d
https://doi.org/10.3182/20080706-5-kr-1001.01498
https://doi.org/10.3182/20080706-5-kr-1001.01498
Publikováno v:
IFAC Proceedings Volumes. 41:3222-3227
This paper aims at the blade root moment sensor fault detection and isolation issue. The underlying problem is crucial to the successful application of the individual pitch control system which plays a key role for reducing the blade loads of large o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08c22714ba783a20fb87d074c9369e34
https://doi.org/10.3182/20080706-5-kr-1001.00547
https://doi.org/10.3182/20080706-5-kr-1001.00547
Publikováno v:
IFAC Proceedings Volumes. 38:119-124
A method is proposed to detect and identify two common classes of actuator faults in nonlinear systems. The two fault classes are total and partial actuator faults. This is accomplished by representing the nonlinear system by a Linear Parameter Varyi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14c2ed9a72f9e8100cea74d7046bf99b
https://doi.org/10.3182/20050703-6-cz-1902.01822
https://doi.org/10.3182/20050703-6-cz-1902.01822
Publikováno v:
IFAC Proceedings Volumes. 36:369-374
A fault detection and identification method for multiple simultaneous sensor and actuator faults is described. The class of faults considered are unknown scalings. The proposed method is based on a system identification approach. Subspace identificat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::666b2bc3bf275af9cb087270246858c9
https://doi.org/10.1016/s1474-6670(17)36519-9
https://doi.org/10.1016/s1474-6670(17)36519-9