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18 résultats avec le mot-clé: 'subspace based optimal method closed loop system identification'

Subspace-based optimal IV method for closed-loop system identification

OPTIMAL CLOSED-LOOP INSTRUMENTAL VARIABLE METHOD The direct application of the classical open loop subspace identification algorithms to the I/O mea- surements u, y leads to a

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An indirect closed loop subspace identification method

Analyzing the behavior of the closed loop system our indirect approach is very different: a characteristic of the closed loop system is first obtained using projections of subspace,

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Optimal instrumental variable method for closed-loop identification

The proposed method presents several advantages: it does not need to know the controller, it may be applied whatever the structure (linear or not) of the controller, it is able

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TWO-STAGE NETWORK FOR OAR SEGMENTATION Pan Chen, Chenghai Xu, Xiaoying Li, Yingying Ma, Fenglong Sun Digital China Health Technologies Co., Ltd.

For cancer, radiotherapy is a standard treatment and the first step is to identify the target volumes to be targeted and the healthy organs at risk (OAR) to be protected. In this

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Bases-anatomiques-des-techniques-dinjections-de-la-face

Bases anatomiques de La chirurgie dermatologique et des techniques d’injections de la face. § Région frontale et glabellaire : muscles corrugator et

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Article pp.106-109 du Vol.107 n°2 (2014)

Ces infections survenaient plus fréquemment chez les sujets de sexe féminin, et chez des patients dont l ’ âge moyen était de 35 ans avec des extrêmes allant de 18 à 69 ans.. Des

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Non-linear estimation is easy

Keywords: Non-linear systems, observability, parametric identifiability, closed-loop state estimation, closed-loop parametric identification, closed-loop fault diagnosis,

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Errors-in-variables identification in dynamic networks — Consistency results for an instrumental variable approach

The method developed in this paper is based on a combination of the instrumental variable philosophy and closed-loop prediction error identification methods, and leads to

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Identification of mechanical parameters at low velocities for a micropositioning stage using a velocity hysteresis model

However, using the principle of the re- cursive identification method and the vector of param- eters obtained from the least square method can be ap- plied a closed loop

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Planning : IDE 2019-2022 H. ARENDT (XXXX (S1-S2)) / Du 27-01-2020 Au 02-02-2020Lundi 27 Janvier 2020

Groupe Obligatoire Cours Salles Nature Cours Intervenants Thématique (Cours) Réferentiel Equipement mobile Horaires.. Planning : IDE 2019-2022

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On non-overdetermined inverse scattering at zero energy in three dimensions

As a result we give, in particular, uniqueness theorem, precise reconstruction procedure, stabil- ity estimate and approximate reconstruction for the problem of finding a

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Thrombolyse à la phase aigue de l’infarctus du myocarde

Dans l'attente des résultats de l'étude FINESSE (101)(rétéplase demi- dose + abciximab avant l'angioplastie vs angioplastie primaire facilitée par abciximab seul), cette

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Closed loop output error identification with bounded disturbances

To address this identification problem we will take inspi- ration from the identification method CLOE (Closed Loop Output Error) presented in [10], [11] and [12].. The

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Optimal Input Design for Subspace-Based Fault Detection and Identification

Figure 9: Residual signal using rotated input (blue), white noise given the correct system order, and white noise which finds out the system order (green) in the case of a minor

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Organic Rankine Cycle for Vehicles: Control Design and Experimental Results

His current research inter- ests include nonlinear systems, model-based control approach, model predictive control, observer-based closed loop identification, and optimization

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Brain imaging of the central executive component of working memory

These studies have demonstrated that different executive functions (manipulating and updating of information, dual-task coordination, inhibition and shifting processes) not

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Comparison of damage localization in mechanical systems based on Stochastic Subspace Identification method

Comparison of damage localization in mechanical systems based on Stochastic Subspace Identification method. EGU General Assembly, Apr 2017,

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Closed-loop output error identification algorithms with predictors based on generalized orthonormal transfer functions: Convergence conditions and bias distribution

Closed-loop output error identification algorithms with predictors based on generalized orthonormal transfer functions: Convergence conditions and bias distribution.. Bernard Vau,

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