Thèse (M.Sc.A.)--Université de Sherbrooke (Canada), 2007. / Titre de l'écran-titre (visionné le 1 février 2007). In ProQuest dissertations and theses. Publié aussi en version papier.

Thèse (M.Sc.)--Université de Sherbrooke (Canada), 2008. / Titre de l'écran-titre (visionné le 1 février 2007). In ProQuest dissertations and theses. Publié aussi en version papier.

Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008. / Source: Dissertation Abstracts International, Volume: 69-11, Section: B, page: 7032. Adviser: Mark W. Spong. Includes bibliographical references (leaves 156-162) Available on microfilm from Pro Quest Information and Learning.

<p> A linear finite element procedure is presented for modeling a single flexible link robotic manipulator system. The model takes into consideration the DC motor, torsional springs/dampers, cantilever beam and the accelerometer at the tip. The finite element method for system modeling is validated through comparison to experimental data using the frequency response. With a validated model for the system, feedback control is implemented for vibration reduction and accurate positioning of the beam tip. The accuracy of the controlled model is compared to experiment and a discrete time transfer matrix method of modelling. The closed-loop finite element method model exhibited an accurate response, related to experiment, with encoder feedback and accelerometer feedback using digital compensators</p>

Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009. / Source: Dissertation Abstracts International, Volume: 70-06, Section: B, page: 3728. Adviser: Kyekyoon Kim. Includes bibliographical references (leaves 111-125) Available on microfilm from Pro Quest Information and Learning.

<p> In this work, a framework for a system which will intelligently assign an edge detection filter to an image based on features taken from the image is introduced. The framework has four parts: the learning stage, image feature extraction, training filter creation, and filter selection training. Two prototypes systems of this framework are given. The learning stage for these systems is the Berkeley Segmentation Database coupled with the Baddelay Delta Metric. Feature extraction is performed using a GIST methodology which extracts color, intensity, and orientation information. The set of image features are used as the input to a single hidden layer feed forward neural network trained using back propagation. The system trains against a set of linear cellular automata filters which are determined to best solve the <i> edge image</i> according to the Baddelay Delta Metric. One system uses cellular automata augmented with a fuzzy rule. The systems are trained and tested against the images from the Berkeley Segmentation Database. The results from the testing indicate that systems built on this framework can perform better than standard methods of edge detection on average across many types of images.</p>

The final work of master studies reviews optimum control methods of flat surface scanning systems. The main purpose of this work was to investigate and analyse the optimum controll of two coordinate scanning system and find the way how to compensate the load influance to the step drive. The load compensation was made using the signal adaptive control. Concluding part present inferences and results of this work.

<p> The characteristic function of a system with three scalar delay channels typically involve the cross terms of different delays. This article studies the geometric structure of the stability crossing set, which is defined as the set of delays with at least one characteristic root on the imaginary axis. The understanding of this geometric structure leads to a good understanding of the stable regions of the delay parameter space. The presence of the coupling terms significantly complicates the analysis, and a thorough analysis requires a substantial amount of numerical computation. Examples are presented to illustrate the main concept and procedures.</p>

In this work have been studying the research of the magnetic fluxes in highly saturated magnetic circuits.

<p> In this thesis, the author presents a feasibility study of methods to modernize the port crane systems with the application of haptic (force) feedback assistive technology to assist the crane operator in the container handling process. The assistive technology provides motion guidance to the operator that could help increase the safety and productivity of the system. The technology of haptic feedback is successful in applications such as gaming, simulators etc., and has proven quite efficient in alerting the user or the operator. This study involves the implementation of haptic feedback as an assistive mechanism through a force-feedback joystick used by the operator to control the motion of a scaled port crane system. The haptic feedback system has been integrated to work with the visual feedback system as part of this study. The visual feedback system shares information needed to trigger the haptic (force) feedback display on the joystick. The force feedback displayed on the joystick has been modeled on Hooke's law of spring force. The force feedback and the visual feedback form a motion guidance system. The integrated system has been implemented and tested on a lab-scale testbed of a gantry crane. For experimental purposes, this concept has been tested on a PC-based Windows platform and also on a portable single board Linux-based computer, called the Beagleboard platform. The results from test runs on both the platforms (PC and Beagleboard using ARM processor) are reported in this study. 2</p>