Khaoula Mbarek, Faten Ouaja Rziga, S. Ghedira, K. Besbes
{"title":"An analysis of the dynamics of SPICE memristor model","authors":"Khaoula Mbarek, Faten Ouaja Rziga, S. Ghedira, K. Besbes","doi":"10.1109/CADIAG.2017.8075630","DOIUrl":"https://doi.org/10.1109/CADIAG.2017.8075630","url":null,"abstract":"The memristor, known as “the fourth fundamental passive circuit element”, was predicted theoretically in 1971 by Prof. Leon Chua. It has attracted the scientist's attention since the physical implementation demonstrated in 2008 by HP Labs research team. However, at the nanoscale, due to its diversified modeling methods, SPICE memristor models are getting a considerable attention due to their simplicity and flexibility. For its reliable implementation, a simple model will be discussed in this paper. This model not only possesses the general memristor properties but also catches the dynamic characteristics including the pinched hysteresis loop, which is covered with a consistent way. Simulation results of the SPICE memristor model demonstrate its dynamics for different types of excitation. The analysis of the implemented parameters provided to discuss the switching behavior of such device. This SPICE model proves the ability and flexibility to adapt the changing behavior with different input polarization.","PeriodicalId":133767,"journal":{"name":"2017 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132690131","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}
Asma Rebaya, Imen Amari, Kaouther Gasmi, S. Hasnaoui
{"title":"Workflow for NoC/DSP multicores-based platform: From Matlab/Simulink models to hardware mapping and scheduling","authors":"Asma Rebaya, Imen Amari, Kaouther Gasmi, S. Hasnaoui","doi":"10.1109/CADIAG.2017.8075640","DOIUrl":"https://doi.org/10.1109/CADIAG.2017.8075640","url":null,"abstract":"Programming multi-cores based Digital Signal Processors (DSP) becomes increasingly complex. This complexity is related to the rapid evaluation of Telecommunication and multimedia systems accompanied by a rapid increase of user requirements in terms of latency, power computation, consumption, etc. Workflow showed to be a successful approach for programming the applications based on NoC-DSP platforms. The main goal of this work is the design of a hardware/software system in an automated manner. In this paper, we present our proposed workflow taking as entry point a Simulink file (.mdl or .slx) derived from embedded Matlab functions. This workflow allows an automatic transformation from a Simulink model to synchronous dataflow (SDF) model, followed by a mapping and scheduling steps in order to obtain the C code to be executed by each core within the designed platform. Our approach is based on the synchronous and hierarchical behavior of both Simulink and SDF, aiming to simplify the generation of a compatible c code for a Noc-DSP platform.","PeriodicalId":133767,"journal":{"name":"2017 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126494362","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":"EMD-based denoising by customized thresholding","authors":"W. Mohguen, R. Bekka","doi":"10.1109/CADIAG.2017.8075624","DOIUrl":"https://doi.org/10.1109/CADIAG.2017.8075624","url":null,"abstract":"This paper presents a new denoising method called EMD-Custom that was based on Empirical Mode Decomposition (EMD) and the modified Customized Thresholding Function (Custom) algorithms. EMD was applied to decompose adaptively a noisy signal into intrinsic mode functions (IMFs). Then, all the noisy IMFs were thresholded by applying the proposed thresholding function to suppress noise and improve the signal to noise ratio (SNR). The method was tested on simulated and real data and the results were compared to the EMD-Based signal denoising methods using the soft and hard thresholding. The results showed the superior performance of the proposed EMD-Custom denoising over the traditional approach. The performances were evaluated in terms of SNR in dB, and Mean Square Error (MSE).","PeriodicalId":133767,"journal":{"name":"2017 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127644400","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":"Nonlinear predictive control based on the bilinear-Laguerre model","authors":"Sana Achek, T. Garna, Kais Bouzrara","doi":"10.1109/CADIAG.2017.8075637","DOIUrl":"https://doi.org/10.1109/CADIAG.2017.8075637","url":null,"abstract":"In this paper, we propose to develop a new Nonlinear Model Predictive Control (NMPC) using a new nonlinear model representation entitled bilinear-Laguerre model. This latter is resulting from the expansion of the bilinear model on Laguerre orthonormal bases which enables to identify a large class of nonlinear systems with significant parameter number reduction with respect to the classical bilinear model. By exploiting the simple recursive representation of the bilinear-Laguerre model, the predictive control strategy is applied using the classical technique that minimizes a quadratic criterion with respect to constraints due to sensors and actuators. The effectiveness of the proposed controller that takes into account physical constraints is illustrated by a numerical simulation example.","PeriodicalId":133767,"journal":{"name":"2017 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134389073","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":"Online identification of MIMO ARX-Laguerre model","authors":"Imen Ben Abdelwahed, A. Mbarek, Kais Bouzrara","doi":"10.1109/CADIAG.2017.8075655","DOIUrl":"https://doi.org/10.1109/CADIAG.2017.8075655","url":null,"abstract":"This paper proposes an online identification of the MIMO ARX-Laguerre model by giving an analytical solution to optimize the Laguerre poles and using recursive identification of Fourier coefficients. Theses parameters characterizing MIMO ARX-Laguerre model are identified basing on the regularised square error. The Laguerre poles optimization and the Fourier coefficients identification procedures are realized on a sliding window in order to generate an online identification algorithm of the MIMO ARXâĂbŞLaguerre model. This algorithm is tested on a benchmark : the Continuous Stirred Tank Reactor (CSTR).","PeriodicalId":133767,"journal":{"name":"2017 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114526019","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":"Centralized sliding mode control with input delay of complex system: Application to a four tank system","authors":"N. Hajji, A. Benamor, S. Maraoui, Kais Bouzrara","doi":"10.1109/CADIAG.2017.8075635","DOIUrl":"https://doi.org/10.1109/CADIAG.2017.8075635","url":null,"abstract":"This paper concerns the Discrete time Sliding Mode Control (DSMC) of complex system with input delay, the synthesized control law will be tested on a four tank hydraulic system. A predictor in discrete time is introduced to convert the original system with input delay to an equivalent system without the explicit appearance of time delay and makes the control problem solvable. Simulation studies show the effectiveness of the control scheme for large-scale systems.","PeriodicalId":133767,"journal":{"name":"2017 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123844949","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}
H. Cherni, Iskander Boulaabi, A. Sellami, F. B. Hmida
{"title":"Delay-dependant derivative sliding mode observer for output time-varying delay system: Network system application","authors":"H. Cherni, Iskander Boulaabi, A. Sellami, F. B. Hmida","doi":"10.1109/CADIAG.2017.8075695","DOIUrl":"https://doi.org/10.1109/CADIAG.2017.8075695","url":null,"abstract":"In this paper, we present a new Sliding Mode Observer (SMO) design method for a class of output time-varying delay-derivative dependant and delay-dependant systems. Based on a suitable choice of a Lyapunov-Krasovskii functional and the Linear Matrix Inequality LMI optimization, the stability of the estimation error is obtained and the gains of the observer are computed. In fact, the specific delay-derivative-dependent technique is introduced to reduce the time-varying delay conservatism on the state estimation. Furthermore, to demonstrate the efficiency of the developed theoretical concepts, a numerical example is taken.","PeriodicalId":133767,"journal":{"name":"2017 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124002613","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":"Application of model predictive control for a thermal process using STM32 microcontroller","authors":"R. Kouki, Tunisie Tunis, Hichem Salhi, F. Bouani","doi":"10.1109/CADIAG.2017.8075647","DOIUrl":"https://doi.org/10.1109/CADIAG.2017.8075647","url":null,"abstract":"Model Predictive Control (MPC) is increasingly being proposed for real time application to provide flexible device monitoring and it has become an advanced development trend of embedded technologies. In this paper, practical application of predictive algorithm is proposed to control a thermal system in real time using the high performance processor STM32. The control algorithm is obtained by the implementation of the MPC in this industrial standard hardware, using Keil development tools designed for ARM processor-based microcontroller devices. Based on experimental results, a comparative analysis proves the effectiveness and the advantages of the MPC algorithm compared to PI controller.","PeriodicalId":133767,"journal":{"name":"2017 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114067436","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":"Bond graph based automated modeling of switch-mode power converters using VHDL-AMS","authors":"R. Zrafi, S. Ghedira, Yassin Dhahri, K. Besbes","doi":"10.1109/CADIAG.2017.8075628","DOIUrl":"https://doi.org/10.1109/CADIAG.2017.8075628","url":null,"abstract":"The aim of this paper is to combine the Bond Graph energy-flow modeling and the VHDL-AMS signal-flow modeling language for the simulation and the prototyping of modern switch-mode power converters. The proposed approach was used to model a specific test case, consisting of a Buck converter with a mixed-signal PWM regulator. The causal structure of bond graph paradigm provides the basis for the convergence of the equation system of the model. We present a library package of methodic and semi-automated design of simulation models for the visual signal-flow simulator SystemVision. The primary simulation result shows a good accuracy.","PeriodicalId":133767,"journal":{"name":"2017 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128938616","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 novel face recognition system base on nonparametric discriminant analysis","authors":"A. Soula, Riadh Ksantini, S. B. Said, Z. Lachiri","doi":"10.1109/CADIAG.2017.8075682","DOIUrl":"https://doi.org/10.1109/CADIAG.2017.8075682","url":null,"abstract":"Biometrics serves to identify the identity of an individual with the help of mathematical analysis of its biological features. In this paper, we propose a novel classification method based on kernel Nonparametric Discriminant Analysis (KNDA). We use the facial features extracted with Gabor descriptor and ordinal filter, which are encoded in local regions, as visual primitives. The different ordinal measures are derived from various kinds of components of Gabor images such as magnitude, phase, real and imaginary. Then, the statistical distributions of these primitives in face image blocks are concatenated to obtain a feature vector whose dimension is reduced using PCA and variance. Each feature vector is treated as a feature input for the proposed Multi-class KNDA classifier. The proposed method incorporates some near-global variations of the data provided by the KNDA. In fact, this latter is based on flexible non-linear separation between face database classes. Moreover, it relaxes the normality assumption of the Linear Discriminant Analysis (LDA). The proposed method is tested on the well-known ORL face database and the Yale face database. Then, it is evaluatedand compared with non-linear classifier (KFD) and linear classifier (LDA) in term ofclassification accuracy.","PeriodicalId":133767,"journal":{"name":"2017 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129001620","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}