{"title":"Inverse optimal control of switched discrete non linear systems based on Control Lyapunov Function and Genetic Algorithm","authors":"M. Sakly, A. Sakly, F. M'sahli","doi":"10.1109/STA.2015.7505154","DOIUrl":"https://doi.org/10.1109/STA.2015.7505154","url":null,"abstract":"Our work focuses mainly on the optimal control issues for switched nonlinear systems. In fact, we are interested, especially, in studying some cases in which we obtain a pre-specified string of active subsystems. Besides, we suggest Genetic Algorithm approach in order to obtain the optimal switching instants. We intend mainly to reduce the cost function according to the previously-mentioned instants.","PeriodicalId":128530,"journal":{"name":"2015 16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114547333","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":"Plug-in electric vehicle control in smart grid","authors":"Siwar Khemakhem, M. Rekik, L. Krichen","doi":"10.1109/STA.2015.7505178","DOIUrl":"https://doi.org/10.1109/STA.2015.7505178","url":null,"abstract":"In this study, the penetration of Plug-in Electric Vehicle (PEV) is considered as a solution to minimize the variance of power load, as well as its ability to improve the efficiency and reliability of the power grid and to reduce carbon emission. The studied PEV is powered by Lithium-ion battery, which is characterized by its storage capacity and high energy densities. In this context, a new control strategy based on “PEV control algorithm” is investigated to detect the presence of the PEV and to monitor it into two operating modes: grid-to-vehicle (G2V) mode whose battery-involved PEV can absorb the excessive electric power from the grid in case of lack of load demand (during the off-peak hours), or vehicle-to-grid (V2G) mode whose PEV can feedback the stored power to the grid when the demand is high or in situations of poor electricity generation (during peak hours), ensuring consequently a smooth power load variance. The system is simulated by using MATLAB software and results are presented in order to show the efficiency of this control strategy.","PeriodicalId":128530,"journal":{"name":"2015 16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114712528","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":"Advanced topologies of multilevel matrix converter","authors":"L. Rmili, M. Hamouda, S. Rahmani, K. Al-haddad","doi":"10.1109/STA.2015.7505221","DOIUrl":"https://doi.org/10.1109/STA.2015.7505221","url":null,"abstract":"In this paper a comprehensive overview of multilevel matrix converter topologies is proposed nowadays as an alternative to the traditional AC/DC/AC multilevel converters. The operation principle and characteristics of the neutral-point clamped and cascaded H-bridge multilevel matrix converters are explained in detail. Simulation results of three-level NPC sparse matrix converter are presented to study the ability of this later to generate high quality of the input currents as well as a multilevel output voltages.","PeriodicalId":128530,"journal":{"name":"2015 16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131921226","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}
M. Ketata, M. Dhieb, Ghazi Ben Hmida, H. Ghariani, M. Lahiani
{"title":"UWB pulse propagation in human tissue: Comparison between Gaussian and square waves shape","authors":"M. Ketata, M. Dhieb, Ghazi Ben Hmida, H. Ghariani, M. Lahiani","doi":"10.1109/STA.2015.7505228","DOIUrl":"https://doi.org/10.1109/STA.2015.7505228","url":null,"abstract":"The detection and the viewing by the radar waves in the opaque medium are going to establish in the coming years a strategic stake in the area of biomedical application. This work studies the performance of Ultra-Wide Band (UWB) signals. These signals have to be sent towards the human body to detect the heart beatings. In previous works, the estimation of UWB pulse attenuation in the human tissue was made by FDTD method or the Friis formula. This paper presents a comparison study between two waves shape; the first one is a Gaussian pulse wave and the second one is a square. These signals have the same central frequency. The comparison of performance of signal is done at the antenna level and the propagation medium. An impedance of 50 Ω characterizes the transmitter antenna. The propagation medium is modeled by four superimposing layers characterized by semi-infinite thickness, dielectric constant and conductivity. ULB wave propagation in such a medium is modeled by the “Finites Differences Time Domain method (FDTD)”. This method is a discretization in time and space of Maxwell's equations in order to find a space-time evolution of the electromagnetic field.","PeriodicalId":128530,"journal":{"name":"2015 16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132237021","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":"An Ant colony optimization approach for parameter identification of piezoelectric resonator chaotic system","authors":"F. Maamri, S. Bououden, I. Boulkaibet","doi":"10.1109/STA.2015.7505182","DOIUrl":"https://doi.org/10.1109/STA.2015.7505182","url":null,"abstract":"In this paper, the Ant colonies optimization (ACO) algorithm is used for offline parameters identification of piezoelectric resonator. The unknown control parameters of the piezoelectric chaotic resonator are taken as a parameter vector, and will be estimated optimally for the exact values of parameters with the application of the proposed ACO algorithm. The Ant colony optimization algorithm is used to find the optimal control parameters of the nonlinear chaotic resonator by minimizing errors between the estimated and actual output. Simulation results of piezoelectric resonator system shows that the ACO algorithm is applied to illustrate the effectiveness for the parameter identification and gives a stable oscillation of the chaotic piezoelectric resonator.","PeriodicalId":128530,"journal":{"name":"2015 16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128529481","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}
Nouzha Harrati, Imed Bouchrika, A. Tari, Ammar Ladjailia
{"title":"Automated classification of facial expressions using bag of visual words and texture-based features","authors":"Nouzha Harrati, Imed Bouchrika, A. Tari, Ammar Ladjailia","doi":"10.1109/STA.2015.7505100","DOIUrl":"https://doi.org/10.1109/STA.2015.7505100","url":null,"abstract":"As facial expression plays undoubtedly a key role in conveying human emotions and feelings, research into how people react to the world and communicate with each other still stands as one of the most scientific challenges to be addressed. Recent research has shown that facial expressions can be a potential medium for various applications. In this research paper, we explore the use of texture-based facial features obtained using the Local Binary Patterns operator. The facial expression signature is constructed via encoding the textural information using the bag of features. Features are trained to robustly distinguish different seven facial emotions including: happiness, anger, disgust, fear, surprise, sadness as well as the neutral case. Based on a gallery dataset containing 76 images, a classification rate of 93.4% is achieved using the Support Vector Machine classifier. The attained results assert that automated classification of facial expression using an appearance-based approach is feasible with an acceptable accuracy.","PeriodicalId":128530,"journal":{"name":"2015 16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133978303","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 comparison study of SSVEP detection methods using the Emotiv Epoc headset","authors":"Omar Trigui, W. Zouch, M. B. Ben Messaoud","doi":"10.1109/STA.2015.7505108","DOIUrl":"https://doi.org/10.1109/STA.2015.7505108","url":null,"abstract":"Recently, the low cost EEG acquisition systems such as the Emotiv Epoc give new tools to develop Brain-Computer interface systems for everyday use outside the laboratory. However, the low sampling rate and the low number of channels remain possible sources of failure. The Canonical Correlation Analysis and the Multivariate Synchronization Index (MSI) methods are applied in a SSVEP-based BCI in order to compare their accuracies. The main goal of this research is to find the appropriate method allowing the control of an autonomous wheelchair by the severely handicapped people. The experimental results show that the MSI method reaches 96% of accuracy with optimal parameters.","PeriodicalId":128530,"journal":{"name":"2015 16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132988735","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":"Neural network approach to model the propagation path loss for great Tripoli area at 900, 1800, and 2100 MHz bands","authors":"Tammam A. Benmus, R. Abboud, Mustafa Kh Shatter","doi":"10.1109/STA.2015.7505236","DOIUrl":"https://doi.org/10.1109/STA.2015.7505236","url":null,"abstract":"Radio wave propagation models are extremely important in mobile network planning and design since it used to predict the Received Signal Strength (RSS). In this work an empirical model was develop to predicate the propagation path loss at the capital of Libya “Tripoli”, based on quit good number of measurements conducted in different places in the target area using the Neural Network approach. This model is very helpful in designing a cellular network in this area and other places having the same environments. The work was done based on real measurements were the RSS conducted from 0 to 1 km distance range in the concerned area at three different frequency bands; 900 MHz, 1800 MHz, and 2100 MHz The measurements were collected in five types of areas; Dense Urban, Urban, Dense Suburban, Suburban and Rural. The proposed model was tested and gives an acceptable accuracy results. The values of RSS obtained from this model were compared with other values obtained from applying the Hata model. It has been found that the results of this work are much closer to the real measurement data and gives 7.1 to 28.8 dB improvements in the accuracy over the Hata model results. The Means Square Error (MSE) was found between 3 to 6.7 for the proposed model.","PeriodicalId":128530,"journal":{"name":"2015 16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116785714","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":"Second order sliding mode observer based on twisting algorithm for induction motor","authors":"Wajdi Hammouda, T. Ladhari, F. M'sahli","doi":"10.1109/STA.2015.7505204","DOIUrl":"https://doi.org/10.1109/STA.2015.7505204","url":null,"abstract":"This work is devoted to the synthesis of an observer for induction motor. Indeed, most control laws require a precise knowledge on model at each sampling time. However, the inaccessibility of some states and large variations of some parameters such as the stator and the rotor resistances, during induction motor operating, represent major challenges for performances of this system. In this sense, a second order sliding mode observer based on twisting algorithm is proposed for recovering induction machine internal states. This observer presents the interest of second order sliding mode in terms of convergence in finite time and robustness against parameters variation. Simulation results show performances of this observer.","PeriodicalId":128530,"journal":{"name":"2015 16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122231323","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":"High gain observer for a class of hyperbolic PDE with application to parabolic solar collector","authors":"Mosbah Charaf Abdelkarim, T. Mohamed, B. Sghir","doi":"10.1109/STA.2015.7505193","DOIUrl":"https://doi.org/10.1109/STA.2015.7505193","url":null,"abstract":"In this contribution we present a new practice to deal with the state estimation problem of the process governed by hyperbolic partial differential equation (PDE) model. In this paper, an approach based on the spacial discretization is adopted to provide an equivalent uncertain state space which describes accurately the original PDE systems. Subsequently, based on the uncertain model a high gain observer is synthesized. The proposed observer allows us to achieve the desired performances with comprehensive and simple convergence analysis. Finally, an assessment of the proposed observer is carried out through simulation by using it to estimate the oil temperature for a parabolic solar collector.","PeriodicalId":128530,"journal":{"name":"2015 16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122247887","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}