842 resultados para On-line movement control


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Existing studies of on-line process control are concerned with economic aspects, and the parameters of the processes are optimized with respect to the average cost per item produced. However, an equally important dimension is the adoption of an efficient maintenance policy. In most cases, only the frequency of the corrective adjustment is evaluated because it is assumed that the equipment becomes "as good as new" after corrective maintenance. For this condition to be met, a sophisticated and detailed corrective adjustment system needs to be employed. The aim of this paper is to propose an integrated economic model incorporating the following two dimensions: on-line process control and a corrective maintenance program. Both performances are objects of an average cost per item minimization. Adjustments are based on the location of the measurement of a quality characteristic of interest in a three decision zone. Numerical examples are illustrated in the proposal. (c) 2012 Elsevier B.V. All rights reserved.

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The on-line processes control for attributes consists of inspecting a single item at every m produced ones. If the examined item is conforming, the production continues; otherwise, the process stops for adjustment. However, in many practical situations, the interest consist of monitoring the number of non-conformities among the examined items. In this case, if the number of non-conformities is higher than an upper control limit, the process needs to be stopped and some adjustment is required. The contribution of this paper is to propose a control system for the number of nonconforming of the inspected item. Employing properties of an ergodic Markov chain, an expression for the expected cost per item of the control system was obtained and it will be minimized by two parameters: the sampling interval and the upper limit control of the non-conformities of the examined item. Numerical examples illustrate the proposed procedure

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In this paper, a procedure for the on-line process control of variables is proposed. This procedure consists of inspecting the m-th item from every m produced items and deciding, at each inspection, whether the process is out-of-control. Two sets of limits, warning (µ0 ± W) and control (µ0 ± C), are used. If the value of the monitored statistic falls beyond the control limits or if a sequence of h observations falls between the warning limits and the control limits, the production is stopped for adjustment; otherwise, production goes on. The properties of an ergodic Markov chain are used to obtain an expression for the average cost per item. The parameters (the sampling interval m, the widths of the warning, the control limits W and C(W < C), and the sequence length (h) are optimized by minimizing the cost function. A numerical example illustrates the proposed procedure.

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L’intégrité de notre système sensorimoteur est essentielle aux interactions adéquates avec notre environnement. Dans la maladie de Parkinson (MP), l’efficacité des interactions quotidiennes entre le corps et l’environnement est fréquemment réduite et diminue la qualité de vie. La MP est une maladie neurodégénérative résultant prioritairement d’une perte neuronale dopaminergique dans les ganglions de la base (GB). Cette dégénérescence altère le fonctionnement normal de la circuiterie associant les GB au cortex cérébral. L’administration de médications dopaminergiques permet d’améliorer les principaux symptômes cliniques moteurs de la MP. Cette thèse porte sur les rôles des GB dans les processus de traitement et d’intégration des informations sensorielles visuelle et proprioceptive et dans les mécanismes d’adaptation visuomotrice. Elle s’intéresse également à l’influence de la médication dopaminergique sur ces fonctions sensorimotrices. Nous avons réalisé trois études comportementales, utilisant l’atteinte manuelle tridimensionnelle comme modèle expérimental. Dans chacune de ces études, nous avons comparé la performance de personnes âgées en santé à celle de personnes souffrant de la MP avec et sans leur médication antiparkinsonienne quotidienne. Ces trois études ont été réalisées à l’aide d’un système d’analyse de mouvement et une station de réalité virtuelle. Dans la première étude, nous avons évalué si les GB sont prioritairement impliqués dans l’intégration sensorimotrice ou le traitement des informations proprioceptives. Pour se faire, nous avons testé la capacité des patients MP à effectuer des atteintes manuelles tridimensionnelles précises dans quatre conditions variant la nature des informations sensorielles (visuelles et/ou proprioceptives) définissant la position de la main et de la cible. Les patients MP ont effectué, en moyenne, de plus grandes erreurs spatiales que les personnes en santé uniquement lorsque les informations proprioceptives étaient la seule source d’information sensorielle disponible. De plus, ces imprécisions spatiales étaient significativement plus grandes que celles des personnes en santé, seulement lorsque les patients étaient testés dans la condition médicamentée. La deuxième étude présentée dans cette thèse a permis de démontrer que les imprécisions spatiales des patients MP dans les conditions proprioceptives étaient le résultat de déficits dans l’utilisation en temps réel des informations proprioceptives pour guider les mouvements. Dans la troisième étude, nous avons évalué si les GB sont prioritairement impliqués dans les mécanismes d’adaptation visuomotrice explicite ou implicite. Pour se faire, nous avons testé les capacités adaptatives des patients MP dans deux tâches variant le décours temporel de l’application d’une perturbation visuomotrice tridimensionnelle. Dans la tâche explicite, la perturbation était introduite soudainement, produisant de grandes erreurs détectées consciemment. Dans la condition implicite, la perturbation était introduite graduellement ce qui engendrait de petites erreurs non détectables. Les résultats montrent que les patients MP dans les conditions médicamentée et non médicamentée présentent des déficits adaptatifs uniquement dans la tâche explicite. Dans l’ensemble, les résultats expérimentaux présentés dans cette thèse montrent que la médication dopaminergique n’améliore pas le traitement des afférences proprioceptives et l’adaptation visuomotrice des personnes souffrant de la MP. Ces observations suggèrent que les dysfonctions dans les circuits dopaminergiques dans les GB ne sont pas les seules responsables des déficits observés dans ces fonctions sensorimotrices.

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Previous work has shown that amplitude and direction are two independently controlled parameters of aimed arm movements, and performance, therefore, suffers when they must be decomposed into Cartesian coordinates. We now compare decomposition into different coordinate systems. Subjects pointed at visual targets in 2-D with a cursor, using a two-axis joystick or two single-axis joysticks. In the latter case, joystick axes were aligned with the subjects’ body axes, were rotated by –45°, or were oblique (i.e., one axis was in an egocentric frame and the other was rotated by –45°). Cursor direction always corresponded to joystick direction. We found that compared with the two-axis joystick, responses with single-axis joysticks were slower and less accurate when the axes were oriented egocentrically; the deficit was even more pronounced when the axes were rotated and was most pronounced when they were oblique. This confirms that decomposition of motor commands is computationally demanding and documents that this demand is lowest for egocentric, higher for rotated, and highest for oblique coordinates. We conclude that most current vehicles use computationally demanding man–machine interfaces.

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Several approaches have been introduced in the literature for active noise control (ANC) systems. Since the filtered-x least-mean-square (FxLMS) algorithm appears to be the best choice as a controller filter, researchers tend to improve performance of ANC systems by enhancing and modifying this algorithm. This paper proposes a new version of the FxLMS algorithm, as a first novelty. In many ANC applications, an on-line secondary path modeling method using white noise as a training signal is required to ensure convergence of the system. As a second novelty, this paper proposes a new approach for on-line secondary path modeling on the basis of a new variable-step-size (VSS) LMS algorithm in feed forward ANC systems. The proposed algorithm is designed so that the noise injection is stopped at the optimum point when the modeling accuracy is sufficient. In this approach, a sudden change in the secondary path during operation makes the algorithm reactivate injection of the white noise to re-adjust the secondary path estimate. Comparative simulation results shown in this paper indicate the effectiveness of the proposed approach in reducing both narrow-band and broad-band noise. In addition, the proposed ANC system is robust against sudden changes of the secondary path model.

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Rapid orientating movements of the eyes are believed to be controlled ballistically. The mechanism underlying this control is thought to involve a comparison between the desired displacement of the eye and an estimate of its actual position (obtained from the integration of the eye velocity signal). This study shows, however, that under certain circumstances fast gaze movements may be controlled quite differently and may involve mechanisms which use visual information to guide movements prospectively. Subjects were required to make large gaze shifts in yaw towards a target whose location and motion were unknown prior to movement onset. Six of those tested demonstrated remarkable accuracy when making gaze shifts towards a target that appeared during their ongoing movement. In fact their level of accuracy was not significantly different from that shown when they performed a 'remembered' gaze shift to a known stationary target (F-3,F-15 = 0.15, p > 0.05). The lack of a stereotypical relationship between the skew of the gaze velocity profile and movement duration indicates that on-line modifications were being made. It is suggested that a fast route from the retina to the superior colliculus could account for this behaviour and that models of oculomotor control need to be updated.

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The problem with the adequacy of radial basis function neural networks to model the inside air temperature as a function of the outside air temperature and solar radiation, and the inside relative humidity in an hydroponic greenhouse is addressed.

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Usually, vehicle applications require the use of artificial intelligent techniques to implement control methods, due to noise provided by sensors or the impossibility of full knowledge about dynamics of the vehicle (engine state, wheel pressure or occupiers weight). This work presents a method to on-line evolve a fuzzy controller for commanding vehicles? pedals at low speeds; in this scenario, the slightest alteration in the vehicle or road conditions can vary controller?s behavior in a non predictable way. The proposal adapts singletons positions in real time, and trapezoids used to codify the input variables are modified according with historical data. Experimentation in both simulated and real vehicles are provided to show how fast and precise the method is, even compared with a human driver or using different vehicles.