다중혈관 관상동맥 환자에서 y-문합을 이용하여 양쪽 내흉동맥만을 사용한 우회술의 조기 성적

[신간의 별자리x] 우리/미술, 그리고 ‘슬픔의 박물관’

https://users.encs.concordia.ca/~ymzhang/publications/ARC32-2-98Zhang_pp.229-252.pdf

Bibliographical review on reconfigurable fault-tolerant control systems

Real and Complex Analysis

Most of the signal processing that we will study in this course involves local operations on a signal, namely transforming the signal by applying linear combinations of values in the neighborhood of each sample point. You are familiar with such operations from Calculus, namely, taking derivatives and you are also familiar with this from optics namely blurring a signal. We will be looking at sampled signals only. Let's start with a few basic examples. Local difference Suppose we have a 1D image and we take the local difference of intensities, DI(x) = 1 2 (I(x + 1) − I(x − 1)) which give a discrete approximation to a partial derivative. (We compute this for each x in the image.) What is the effect of such a transformation? One key idea is that such a derivative would be useful for marking positions where the intensity changes. Such a change is called an edge. It is important to detect edges in images because they often mark locations at which object properties change. These can include changes in illumination along a surface due to a shadow boundary, or a material (pigment) change, or a change in depth as when one object ends and another begins. The computational problem of finding intensity edges in images is called edge detection. We could look for positions at which DI(x) has a large negative or positive value. Large positive values indicate an edge that goes from low to high intensity, and large negative values indicate an edge that goes from high to low intensity. Example Suppose the image consists of a single (slightly sloped) edge:

http://ieeexplore.ieee.org/iel5/5/31307/01456462.pdf

Linear systems

/pdf/on-line-implementation-of-model-free-controller-for-oxygen-2ky241pv.pdf

On-line implementation of model free controller for oxygen stoichiometry and pressure difference control of polymer electrolyte fuel cell

Le developpement des unites de post-denitrification dans les stations d'epuration de l'agglomeration parisienne a fait re-emerger la problematique du nitrite dans les eaux de Seine en aval de Paris. Le controle de l'apparition des nitrites au cours de l'etape de post-denitrification est donc devenu un enjeu technique majeur. Des etudes visant a mieux apprehender les mecanismes d'apparition du nitrite lors de la denitrification des eaux usees et a etudier des evolutions techniques (metrologie et boucles de controle-commande des procedes) a mettre en oeuvre sur les usines pour controler et limiter sa production ont ete engagees dans le cadre du programme MOCOPEE (www.mocopee.com). De precedents travaux ont montre que les modes usuels d'injection du methanol ne permettent pas de s'assurer de la stabilite du rapport C/N dans le reacteur biologique et conduisent a une production erratique et incontrolee de nitrites. La possibilite d'ajouter une « commande sans modele » a la commande classique a donc ete testee a l'aide du modele mathematique SimBio, modele permettant de simuler le fonctionnement des unites de biofiltration. La commande sans modele placee « en fin de traitement » et basee sur la concentration en nitrites mesuree en sortie de procede, se greffe a la methode de controle classique en y apportant des corrections seulement au besoin. Les resultats des simulations montrent qu'une regulation des injections de methanol basee sur la « commande sans modele » permet de stabiliser et maitriser le nitrite dans le rejet, sans induire d'augmentation des 1 quantites de methanol injectees.

/pdf/la-production-de-nitrites-lors-de-la-denitrification-des-5bm8t75a1c.pdf

La production de nitrites lors de la dénitrification des eaux usées par biofiltration - stratégie de contrôle et de réduction des concentrations résiduelles

We suggest a new model-free definition of the beta coefficient, which plays an important role in systematic risk management. This setting, which is based on the existence of trends for financial time series via nonstandard analysis (Fliess M., Join C.: A mathematical proof of the existence of trends in financial time series, Proc. Int. Conf. Systems Theory: Modelling, Analysis and Control, Fes, 2009, online: http://hal.inria.fr/inria-00352834/en/) leads to convincing computer experiments which are easily implementable.

https://hal.inria.fr/inria-00425077/document

Systematic risk analysis: first steps towards a new definition of beta

This article proposes an algebraic method to fault diagnosis for uncertain linear systems. The main advantage of this new approach is to realize fault diagnosis only from knowledge of input and output measurements without identifying explicitly model parameters. Using tools and results of algebraic identification and pseudospectra analysis, the issues of robustness of the proposed approach compared to the model order and noise measurement are examined. Numerical examples are provided and discussed to illustrate the efficiency of the proposed fault diagnosis method.

/pdf/a-robust-algebraic-approach-to-fault-diagnosis-of-uncertain-17lpznbo5f.pdf

A robust algebraic approach to fault diagnosis of uncertain linear systems

Unknown delayed systems are present in many domains and control this kind of systems remains a difficult problem. Indeed, we can find theses systems in physics, chemistry, aeronautics, etc. The main problem is that the delay is unknown, and so the model is not exactly well-known. By the way, the use of model-free control (MFC) remains a suitable solution to tackle this problem. This paper deals with a stability analysis to show the influence of a parameter on the stability of the systems regarding to the delay.

https://hal.archives-ouvertes.fr/hal-01578561/document

Cédric Join

Papers

On-line implementation of model free controller for oxygen stoichiometry and pressure difference control of polymer electrolyte fuel cell

La production de nitrites lors de la dénitrification des eaux usées par biofiltration - stratégie de contrôle et de réduction des concentrations résiduelles

Systematic risk analysis: first steps towards a new definition of beta

A robust algebraic approach to fault diagnosis of uncertain linear systems

Stability analysis for unknown delayed systems controlled by model-free control