{"title":"Trajectory tracking of bilinear systems using high gain observer","authors":"H. Sayem, N. Braiek, H. Hammouri","doi":"10.1109/ICEESA.2013.6578470","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578470","url":null,"abstract":"This paper proposes a trajectory tracking approach for bilinear systems using high gain observer. The proposed technique is based on the use of orthogonal functions and especially the use of operational integration and product matrices. These operational tools allow the conversion of a bilinear differential state equation into an algebraic one. Arranging and solving the obtained algebraic equation lead to a feedback control law that allows the track of a system trajectory. High gain observer is applied to the controlled system in order to ensure the robust track of system trajectory. The adjusting high gain observer parameter allows to system to track its trajectory despite noise. The proposed method is applied to a cylindrical heat exchanger process that is considered, under some assumptions, as a bilinear system.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114893419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Skin disease analysis and tracking based on image segmentation","authors":"O. Trabelsi, Lotfi Tlig, M. Sayadi, F. Fnaiech","doi":"10.1109/ICEESA.2013.6578486","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578486","url":null,"abstract":"Tracking of the skin disease is a necessary step of diagnostic as well the measure of the wound's surface is very useful in healing's document. To overcome the difficulties of the skin illness's estimation, encountered with the currently used measurement techniques, we propose a novel approach aiming to reduce the time-consuming and the error rate. The proposed method is based on two steps; the first step is a preprocessing one which consists in image segmentation to detect the edge of the infected skin region. In the second one, another proposed method is applied to measure the wound `size' and control the illness evolution. In this work, a comparative study was realized to select the most suitable segmentation technique referred to a proposed criterion based on `edge accuracy' EAC. The new criterion was compared with the `surface accuracy' based on ROC1 space. The experiments show the performance of the proposed criterion and the efficacy of the measurement technique.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133639354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A comparative study between 4H-SiC and silicon power PiN diode having the same breakdown voltage 4KV","authors":"Atef Jedidi, H. Garrab, K. Besbes","doi":"10.1109/ICEESA.2013.6578428","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578428","url":null,"abstract":"The exploitation of silicon carbide semiconductor devices in power electronic field have made exceptional improvements by their fast switching and low dissipated losses especially at high operating temperatures, However, physical performances of silicon power components have reached their limits. This paper presents a comparative study, through numerical simulation and using the finite element method modeling, between 4H-SiC and silicon power PiN diode having the same breakdown voltage “4KV”. This comparative study highlights the benefits of silicon carbide.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130619104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"OCR-independent and segmentation-free word-spotting in handwritten Arabic Archive documents","authors":"N. Aouadi, A. Kacem","doi":"10.1109/ICEESA.2013.6578363","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578363","url":null,"abstract":"In this paper, a word-spotting approach is presented that can help in reading handwritten Arabic Archive Documents. Because of the low quality of these documents, the proposed approach is free segmentation, independent of OCR, using a global transformation of word images. It is a based learning approach which employs Generalized Hough Transform (GHT) technique. It detects words, described by their models, in documents images by finding the model's position in the image. With the GHT, the problem of finding the model's position is transformed to a problem of finding the transformation's parameter that maps the model into the image. Parameters such as Hough threshold and distance between voting points are considered for a better location and recognition of words. We tested our system on registers from the 19th century onwards, held in the National Archives of Tunisia. Our first experiments reach an average of 94% of well-spotted words.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134560688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Predictive sliding mode control for perturbed discrete delay time systems: Robustness analysis","authors":"B. Houda, Abdennebi Nizar, N. Said","doi":"10.1109/ICEESA.2013.6578377","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578377","url":null,"abstract":"This paper presents a control strategy for perturbed discrete system with time delay, using Sliding Mode Control (SMC) and Model based Predictive Control (MPC). A predictive sliding mode control strategy is proposed and a discrete-time reaching law is improved. By applying a predictive sliding surface and a reference trajectory, combining with the state feedback correction and rolling optimization method in the predictive control strategy, a predictive sliding mode controller, for perturbed discrete system with time delay, is synthesized. The combination of SMC and MPC improves the performance of these two control laws. A robustness analysis proves that the designed control strategy has stronger robustness and chattering reduction property. Finally, a numerical example is given to illustrate the effectiveness of the proposed theory.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132951554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Experimental technique for estimation of mechanical load unbalance level: Based on time analysis of induction machine stator current","authors":"M. Salah, K. Bacha, A. Chaari","doi":"10.1109/ICEESA.2013.6578468","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578468","url":null,"abstract":"Traditional fault diagnostic techniques using motor current signature analysis is, generally, based on the assumption of a constant load torque. In fact, due to the design, construction, and ageing phenomenon of loads, torque imposed to the motor can not be strictly constant and, in most of cases, varies according to the machine rotor position. These variations of the load torque, which are not related to the health of the motor, involve amplitude modulation of machine stator current at rotational frequency. In this paper we propose a technique based on the introduction of a supplementary known mechanical unbalance on the motor rotor axis to estimate the unknown load unbalance level from time analysis of stator current signal. Simulation and experimental results show the effectiveness of the proposed method.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127874512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Asymmetrical cascaded multilevel converter applied in photovoltaîc systems","authors":"O. Bouaziz, I. Jaafar, Faouzi ben Ammar","doi":"10.1109/ICEESA.2013.6578387","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578387","url":null,"abstract":"The performance of photovoltaic system is affected by solar radiation, temperature, shading and cells configuration. This paper presents a suggested solution to cure the problems of the shade, by the use of the cascaded multilevel inverters adapted to the situation of non-identical continuous DC PV sources and commended by an appropriated PDPWM control.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121328278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Robust sliding mode observer for fault estimation of uncertain system","authors":"Habib Ben Zina, S. Dhahri, F. Ben Hmida","doi":"10.1109/ICEESA.2013.6578386","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578386","url":null,"abstract":"This paper describes a method of actuator fault estimation for linear uncertain systems. In this work, the upper bound of the unknown input is not required. To remove this requirement a modified sliding mode observer is presented. The novelty in this method lies in the structure of the mechanism introduced to calculate the sliding mode observer gain responsible to counteract uncertainty and actuator fault. In order to guarantee robustness to uncertainty, the developed observer use the H∞ principle. Then, based on Lyapunov method, asymptotic stability conditions are given to design the observer parameters. Also, the equivalent output error injection signal is used to estimate the fault. Finally, the validity of this approach is illustrated by a VTOL aircraft model.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129068263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Texture defect detection with combined local homogeneity analysis and discrete cosine transform","authors":"A. Rebhi, S. Abid","doi":"10.1109/ICEESA.2013.6578359","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578359","url":null,"abstract":"In this paper a new technique for defect detection in gray-level textured images is proposed. The first step of the algorithm is devoted to compute the local homogeneity of each pixel to construct a new homogeneity image denoted as (H-image). The second step consists in dividing the H-image into squared blocks and applying the discrete cosine transform (DCT) and then representative energy features of each DCT block are extracted. The defect blocks can be determined by a multivariate statistical method. Finally, a simple thresholding method is applied to extract defective areas. Simulations on different textured images and different defect aspects show good promising results.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"262 1-2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116840621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Z. Mbarki, E. Ben Braiek, H. Seddik, S. Tebini, A. Selmani
{"title":"Neural SKCS for efficient noise reduction and content preserving","authors":"Z. Mbarki, E. Ben Braiek, H. Seddik, S. Tebini, A. Selmani","doi":"10.1109/iceesa.2013.6578449","DOIUrl":"https://doi.org/10.1109/iceesa.2013.6578449","url":null,"abstract":"Images are often corrupted by random variations in intensity, illumination or have poor contrast and can't be used directly. Several studies have expressed the need to reduce noise and to improve the visual quality of the image. For this purpose, several mathematical tools have been developed such as image filtering by a convolution filter, such as the kernel with compact support (KCS) which has been recently proposed by Remaki and Cheriet [1] and it's version separable (SKCS) 10]. The effectiveness of the SKCS filter in the smoothing operation depends on the value of the scale parameter. Moreover, if the scale parameter is increased, the image is blurred and details and borders are removed. This disadvantage is related to the static nature of the KCS kernel. In this paper we propose a dynamic and adaptive SKCS filter based on neural networks. The scale parameters involved in the filtering process are calculated in real time and supervised by the neural network. The filter scale varies continuously in order to detect and clean noisy areas of the image. To assess the developed theory, an application of filtering noisy images is presented, including a qualitative comparison between the result obtained by the static SKCS and the adaptive SKCS kernel proposed.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116894505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}