{"title":"Comparative study of minimal value parameters and RKPCA in RKHS","authors":"N. Souilem, I. Elaissi, H. Messaoud","doi":"10.1109/ICEESA.2013.6578477","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578477","url":null,"abstract":"This paper aims to compare two RKHS models used for describing nonlinear process behaviour. The first model is issued from the estimation of the minimal value of the learning set cardinal and the second results from the complexity reduction of an RKHS model built using arbitrary learning set cardinal. Both models have been tested on non linear dynamic system used as a benchmark and the results were successful.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"125 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":"115641183","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 hybrid method based on conjugate gradient trained neural network and differential evolution for non linear systems identification","authors":"Chiha Ibtissem, Liouane Nouredine","doi":"10.1109/ICEESA.2013.6578397","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578397","url":null,"abstract":"A hybrid method based on Differential Evolution and Neural Network training algorithms is presented in this paper for improving the performance of neural network in the non linear system identification. For this purpose, the local optimization algorithm of conjugate gradients (CG) is combined with the differential evolution algorithm (DE), which is a population-based stochastic global search method, to yield a computationally efficient algorithm for training multilayer perceptron networks for nonlinear system identification. After, a series of simulation studies of our method on the different nonlinear systems it has been confirmed that the proposed CG+DE algorithm has yielded better identification results in terms of time of convergence and less identification error.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"37 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":"127113905","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. Ayari, Mohamed Moez Belhaouane, N. Braiek, X. Guillaud
{"title":"Optimal control design for VSC-HVDC systems","authors":"M. Ayari, Mohamed Moez Belhaouane, N. Braiek, X. Guillaud","doi":"10.1109/ICEESA.2013.6578365","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578365","url":null,"abstract":"This paper deals with modeling and optimal control design of VSC-HVDC transmission system in order to enhance system stability. The steady of the state mathematical model for GL (Generator-Load) VSC-HVDC system is developed and the decoupled relationship between the controlling variables is proposed. Furthermore, this work focuses on the design of optimal PI (proportional-integral) controller which aims to maintain DC link voltage and control the reactive power. The effectiveness of the proposed optimal control scheme is proved through digital simulation studies on a VSC-HVDC power system, using MATLAB/Simulink software. The simulation results shows that the proposed optimal PI controller is effective to enhance power system stability.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"30 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":"125005863","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}
Ali Ben Brahim, S. Dhahri, F. Ben Hmida, A. Sellami
{"title":"Robust and simultaneous reconstruction of actuator and sensor faults via sliding mode observer","authors":"Ali Ben Brahim, S. Dhahri, F. Ben Hmida, A. Sellami","doi":"10.1109/ICEESA.2013.6578375","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578375","url":null,"abstract":"This paper proposes a method for robust and simultaneous actuator and sensor faults reconstruction of linear uncertain system based on sliding mode observer (SMO). In comparison with existing work, the observer contains two discontinuous terms to solve the problem of simultaneous faults. The idea is to introduce an appropriate filter on the systems output to transform the sensor faults in the fictitious actuator faults and hence the proposed SMO can be applied.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"15 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":"126752094","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":"New condition of stabilization for continuous Takagi-Sugeno fuzzy system based on fuzzy Lyapunov function","authors":"Ali Bouyahya, Yassine Manai, Joseph Haggège","doi":"10.1109/ICEESA.2013.6578391","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578391","url":null,"abstract":"This paper try to give a new stabilization condition of continuous Takagi-Sugeno fuzzy models. Using non-quadratic Lyapunov function, the new condition of stabilization are used in terms of linear matrix inequalities LMIs. To verify the robustness of this new condition, a numeric example is used.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"568 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":"116064628","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 fault and state-space estimation for linear uncertain systems: An RLS approach","authors":"F. Gannouni, F. Ben Hmida","doi":"10.1109/ICEESA.2013.6578411","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578411","url":null,"abstract":"This paper addresses the robust filtering problem of joint fault and state estimation for uncertain systems from the viewpoint of regularized least-square estimation. The method is based on the assumption that no prior knowledge about the dynamical evolution of the fault is available. Compared with earlier studies the robust criterion for least-square designs incorporate simultaneously both regularization and weighting and applies to a large class of uncertainties. The solution to the regularized least-square problem yields robust filter equations that perform regularization as opposed to de-regularization. The proposed filter is tested by an illustrative example.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"62 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":"122965364","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":"Simulation of a Tunisian wind farm of Sidi-Daoud using PSAT","authors":"F. Bacha, R. Karoui","doi":"10.1109/ICEESA.2013.6578498","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578498","url":null,"abstract":"This paper deals with the analysis and simulation of a Tunisian Wind farms in Sidi-Daoud, the most important wind farm in Tunisia. In this farm constant speed wind turbines are used. The first section devoted to the presentation of the wind farm of Sidi-Doud. In the second part, we present the aerodynamic model of the wind turbine and the transient model of the induction generator used in this wind park. Finally, we simulate the electrical behavior of the wind farm under the turbulent wind upstream of each rotor turbine and identify the main features based on simulation software PSAT.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"29 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":"114267234","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":"Adaptive observer approach for actuators multiplicative faults detection and isolation","authors":"Raouaa Tayari, F. Ben Hmida","doi":"10.1109/ICEESA.2013.6578481","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578481","url":null,"abstract":"In this paper we interest in the problem of multiplicative faults detection and isolation for linear systems. To solve this problem we use a bank of adaptive observers. The proposed algorithm is applied on a numerical example to conclude that the correct and robust detection and isolation in respect to the actuators multiplicative faults.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"71 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":"114269593","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}
samira ben salem, Walid Touti, K. Bacha, A. Chaari
{"title":"Induction motor mechanical fault identification using Park's vector approach","authors":"samira ben salem, Walid Touti, K. Bacha, A. Chaari","doi":"10.1109/ICEESA.2013.6578381","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578381","url":null,"abstract":"In this work we have shown that the extended Park's vector spectrum is rich in harmonics characteristics of mechanical defects (air-gap eccentricity and outer raceway bearing fault). About the use of Park's Lissajou's curves to identify mechanical defects, we have demonstrated that this type of index can only detect the occurrence of a fault, but it cannot identify.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"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":"129867841","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 extended sliding mode observer for a class of linear uncertain time-delay systems: Delay-dependent design method","authors":"Boulaabi Iskander, S. Anis, Ben Hmida Fayçal","doi":"10.1109/ICEESA.2013.6578494","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578494","url":null,"abstract":"For uncertain systems an extended Sliding Mode Observer (SMO) delay-dependent design method is presented in this paper. The considered uncertainty is bounded and the time delay is constant and affects simultaneously the input and state system. The basic design idea consists to combine the SMO concept with an adequate choice of a Lyapunov-Krasovskl functional. This design method is numerically tractable via Linear Matrix Inequalities (LMI) optimization. Besides, the dynamic properties of the observer are also analyzed and the reachability condition is satisfied. An illustrative example is given to show the validity and the applicability of the proposed approach.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"11 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":"129264026","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}