Pub Date : 2020-12-20DOI: 10.1109/STA50679.2020.9329299
Mohamed Ali Jammali, H. Mouftah
In this paper, we started from black box system without any prior knowledge of its dynamic behavior, we applied inputs and recording outputs data. From this data we ran three subspace state space algorithms which are: the Numerical algorithm for Subspace State Space System IDentification (N4SID) with its two versions 1, 2 and the Multivariable Output Error State (MOESP) algorithm to select the suited algorithm between them who reproduce with fidelity the real system dynamic with a minimum estimation error. Then, an improved control process developed for discrete-time Takagi-Sugeno system. This latter was formed by the selected identification algorithm.
{"title":"Takagi-Sugeno fuzzy control for Multi-input Multi-output systems based on subspace state space identification","authors":"Mohamed Ali Jammali, H. Mouftah","doi":"10.1109/STA50679.2020.9329299","DOIUrl":"https://doi.org/10.1109/STA50679.2020.9329299","url":null,"abstract":"In this paper, we started from black box system without any prior knowledge of its dynamic behavior, we applied inputs and recording outputs data. From this data we ran three subspace state space algorithms which are: the Numerical algorithm for Subspace State Space System IDentification (N4SID) with its two versions 1, 2 and the Multivariable Output Error State (MOESP) algorithm to select the suited algorithm between them who reproduce with fidelity the real system dynamic with a minimum estimation error. Then, an improved control process developed for discrete-time Takagi-Sugeno system. This latter was formed by the selected identification algorithm.","PeriodicalId":158545,"journal":{"name":"2020 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128572612","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}
Pub Date : 2020-12-20DOI: 10.1109/STA50679.2020.9329291
Farhat Yassin, Atig Asma, Z. Ali, Ben Abdennour Ridha
An arbitrary choice of neural emulator's learning rate adversely affects the system performances. This paper introduces a new approach to update the learning rate for a Neural Emulator (NE) of the complex processes with unknown behavior. The originality of the proposed method consists in the adaptation of the learning rate by the minimization of a cost function generated by the emulation errors. For carrying out this study, two simulation examples are considered. It is found that performances of the proposed approaches are better than those obtained in previous works.
{"title":"A New Learning Rate Tuning For Nonlinear System Emulation","authors":"Farhat Yassin, Atig Asma, Z. Ali, Ben Abdennour Ridha","doi":"10.1109/STA50679.2020.9329291","DOIUrl":"https://doi.org/10.1109/STA50679.2020.9329291","url":null,"abstract":"An arbitrary choice of neural emulator's learning rate adversely affects the system performances. This paper introduces a new approach to update the learning rate for a Neural Emulator (NE) of the complex processes with unknown behavior. The originality of the proposed method consists in the adaptation of the learning rate by the minimization of a cost function generated by the emulation errors. For carrying out this study, two simulation examples are considered. It is found that performances of the proposed approaches are better than those obtained in previous works.","PeriodicalId":158545,"journal":{"name":"2020 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121732292","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}
Pub Date : 2020-12-20DOI: 10.1109/STA50679.2020.9329312
Mohamed Abdalla, Amina A. Abdo, A. Lawgali
The analysis of the iris images of individuals has proven that iris is very distinctiveness and permanence for biometric uses. The task of iris analysis requires precise steps to yield accurate decisions. Considerable studies have shown that the extraction of the most informative features is one of the important keys for resulting in high level of accuracy. Discrete wavelet transform (DWT) and discrete cosine transform (DCT) have been intensively utilized to extract the features of iris images. This paper provides a technique for analyzing the combination of the features extracted by DWT and DCT all at once. The proposed technique is applied on CASIA interval-v4 image database. For the classification task, the extracted features are fed into the multiclass SVM. The accuracy rates yielded by the proposed technique reached 100%. This is quite promised comparing with those results of processing DWT and DCT separately.
{"title":"Utilizing Discrete Wavelet Transform and Discrete Cosine Transform for Iris Recognition","authors":"Mohamed Abdalla, Amina A. Abdo, A. Lawgali","doi":"10.1109/STA50679.2020.9329312","DOIUrl":"https://doi.org/10.1109/STA50679.2020.9329312","url":null,"abstract":"The analysis of the iris images of individuals has proven that iris is very distinctiveness and permanence for biometric uses. The task of iris analysis requires precise steps to yield accurate decisions. Considerable studies have shown that the extraction of the most informative features is one of the important keys for resulting in high level of accuracy. Discrete wavelet transform (DWT) and discrete cosine transform (DCT) have been intensively utilized to extract the features of iris images. This paper provides a technique for analyzing the combination of the features extracted by DWT and DCT all at once. The proposed technique is applied on CASIA interval-v4 image database. For the classification task, the extracted features are fed into the multiclass SVM. The accuracy rates yielded by the proposed technique reached 100%. This is quite promised comparing with those results of processing DWT and DCT separately.","PeriodicalId":158545,"journal":{"name":"2020 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129597143","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}
Pub Date : 2020-12-20DOI: 10.1109/STA50679.2020.9329308
Mariem Boujneh, N. Majdoub, T. Ladhari, A. Sakly
Hybrid Electric Vehicles (HEVs) allow fuel economy and reduced emissions in comparison to conventional vehicles. To improve HEV performance in relation to reduce fuel utilization and emissions, and guarantee driving performance, the optimization of control strategy is indispensable. In this paper, the multiobjective optimization problem is converted to single-objective problem. Particle Swarm Optimization (PSO) algorithm is then used to conceive appropriate control parameters, for the purpose to reduce fuel consumption and emissions with conserved vehicle performance requirements. To simulate a parallel hybrid electric vehicle, ADvanced VehIcle SimulatOR (ADVISOR) is used with Federal Test Procedure (FTP) and Urban Dynamometer Driving Schedule (UDDS) to estimate Fuel Consumption (FC), emissions and vehicle dynamics.
{"title":"Optimal Control Strategy Parameters of Parallel Hybrid Electric Vehicles Based on Particle Swarm Optimization","authors":"Mariem Boujneh, N. Majdoub, T. Ladhari, A. Sakly","doi":"10.1109/STA50679.2020.9329308","DOIUrl":"https://doi.org/10.1109/STA50679.2020.9329308","url":null,"abstract":"Hybrid Electric Vehicles (HEVs) allow fuel economy and reduced emissions in comparison to conventional vehicles. To improve HEV performance in relation to reduce fuel utilization and emissions, and guarantee driving performance, the optimization of control strategy is indispensable. In this paper, the multiobjective optimization problem is converted to single-objective problem. Particle Swarm Optimization (PSO) algorithm is then used to conceive appropriate control parameters, for the purpose to reduce fuel consumption and emissions with conserved vehicle performance requirements. To simulate a parallel hybrid electric vehicle, ADvanced VehIcle SimulatOR (ADVISOR) is used with Federal Test Procedure (FTP) and Urban Dynamometer Driving Schedule (UDDS) to estimate Fuel Consumption (FC), emissions and vehicle dynamics.","PeriodicalId":158545,"journal":{"name":"2020 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129265266","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}
Pub Date : 2020-12-20DOI: 10.1109/STA50679.2020.9329326
Essia Added, H. Gritli
This work consists of controlling the bipedal compass-type robot in order to stabilize its passive dynamic gait. The locomotion of such bipedal robot is modeled by an impulsive hybrid nonlinear system, which can generate surprising phenomena such as chaos and bifurcations, by varying some parameters. In order to make the walk of the compass-type bipedal robot to be periodic of period 1, we propose two control approaches. The first control method is based on tracking a predefined passive dynamic walking generated by the model itself. The second control approach is based on following an online planned trajectory using the 4th-order Spline function. Finally, we show some simulation results revealing the efficiency of the two proposed control approaches in the control of the passive gait of the bipedal compass-type robot.
{"title":"Control of the Passive Dynamic Gait of the Bipedal Compass-Type Robot Through Trajectory Tracking","authors":"Essia Added, H. Gritli","doi":"10.1109/STA50679.2020.9329326","DOIUrl":"https://doi.org/10.1109/STA50679.2020.9329326","url":null,"abstract":"This work consists of controlling the bipedal compass-type robot in order to stabilize its passive dynamic gait. The locomotion of such bipedal robot is modeled by an impulsive hybrid nonlinear system, which can generate surprising phenomena such as chaos and bifurcations, by varying some parameters. In order to make the walk of the compass-type bipedal robot to be periodic of period 1, we propose two control approaches. The first control method is based on tracking a predefined passive dynamic walking generated by the model itself. The second control approach is based on following an online planned trajectory using the 4th-order Spline function. Finally, we show some simulation results revealing the efficiency of the two proposed control approaches in the control of the passive gait of the bipedal compass-type robot.","PeriodicalId":158545,"journal":{"name":"2020 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"209 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134206374","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}
Pub Date : 2020-12-20DOI: 10.1109/STA50679.2020.9329311
Abdelmoumene Messaoudi
The problem of reactive power flow is a complex and difficult because it causes many problems, most notably loss of power, voltage deviation and voltage instability. Therefore, the reduction of these elements was one of the important studies in electrical power systems. The choice of the Jaya Algorithm (JA) was good for this goal because it is a fast, efficient and stable method that gives a global optimization solution in most cases. Thus, it is a method based on only one simple equation. This method is applied to typical electrical grid 30-node of IEEE in order to reduce the total real losses as well as with voltage deviation and the coefficient of voltage stability. Additionally, the reduction of losses and voltage deviation with the coefficient of voltage stability is treated because the decrease in the voltage deviation leads to an increase in its stability index and vice versa, which makes it a multi-objective optimization problem.
{"title":"Optimization of Reactive Power with Both Voltage Profile and Voltage Stability Using Jaya Method","authors":"Abdelmoumene Messaoudi","doi":"10.1109/STA50679.2020.9329311","DOIUrl":"https://doi.org/10.1109/STA50679.2020.9329311","url":null,"abstract":"The problem of reactive power flow is a complex and difficult because it causes many problems, most notably loss of power, voltage deviation and voltage instability. Therefore, the reduction of these elements was one of the important studies in electrical power systems. The choice of the Jaya Algorithm (JA) was good for this goal because it is a fast, efficient and stable method that gives a global optimization solution in most cases. Thus, it is a method based on only one simple equation. This method is applied to typical electrical grid 30-node of IEEE in order to reduce the total real losses as well as with voltage deviation and the coefficient of voltage stability. Additionally, the reduction of losses and voltage deviation with the coefficient of voltage stability is treated because the decrease in the voltage deviation leads to an increase in its stability index and vice versa, which makes it a multi-objective optimization problem.","PeriodicalId":158545,"journal":{"name":"2020 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130398618","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}
Pub Date : 2020-12-20DOI: 10.1109/STA50679.2020.9329345
Intissar Darwich, Islem Lachhab, L. Krichen
In order to improve the accuracy and the stability of the fuel cell/ ultra capacitor vehicle, an intelligent control is proposed in this paper. The method's principles are based on PSO approach to control off and on line PI regulators parameters of DC link voltage and vehicle speed. Both methods are compared to prove their effect in fuel consumption optimization. According to the New European Driving Cycle (NEDC) applied to mathematical FC-HEV model, simulation results show that on line self-regulated PI controller based on error optimized by PSO is more effective in terms of stabilization in DC link voltage and vehicle speed than off line method. Last, minimizing on line the error of the setting value and the actual value had traduced an improvement of 50% in hydrogen consumption.
{"title":"Optimized Energy Consumption for FC-HEV Based on PSO Algorithm","authors":"Intissar Darwich, Islem Lachhab, L. Krichen","doi":"10.1109/STA50679.2020.9329345","DOIUrl":"https://doi.org/10.1109/STA50679.2020.9329345","url":null,"abstract":"In order to improve the accuracy and the stability of the fuel cell/ ultra capacitor vehicle, an intelligent control is proposed in this paper. The method's principles are based on PSO approach to control off and on line PI regulators parameters of DC link voltage and vehicle speed. Both methods are compared to prove their effect in fuel consumption optimization. According to the New European Driving Cycle (NEDC) applied to mathematical FC-HEV model, simulation results show that on line self-regulated PI controller based on error optimized by PSO is more effective in terms of stabilization in DC link voltage and vehicle speed than off line method. Last, minimizing on line the error of the setting value and the actual value had traduced an improvement of 50% in hydrogen consumption.","PeriodicalId":158545,"journal":{"name":"2020 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124158532","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}
Pub Date : 2020-12-20DOI: 10.1109/STA50679.2020.9329335
A. Jouili, B. Boussaid, A. Zouinkhi, M. Abdelkrim
In this paper, we study the finite-time consensus problem of networked nonlinear systems under fixed topology. To solve the problem of consensus in finite time we proposed a protocol based on concepts of stability in finite time and graph theory, the protocol is applied for the multi-unicycle system and the multi-tricycle system in interaction with different nonlinear models. As illustrative examples, using the proposed protocols, a networked unicycle robots with/without time delay, and a multi-system tricycle robots achieve consensus in finite time.
{"title":"Finite time consensus for multi-tricycle systems under graph theory","authors":"A. Jouili, B. Boussaid, A. Zouinkhi, M. Abdelkrim","doi":"10.1109/STA50679.2020.9329335","DOIUrl":"https://doi.org/10.1109/STA50679.2020.9329335","url":null,"abstract":"In this paper, we study the finite-time consensus problem of networked nonlinear systems under fixed topology. To solve the problem of consensus in finite time we proposed a protocol based on concepts of stability in finite time and graph theory, the protocol is applied for the multi-unicycle system and the multi-tricycle system in interaction with different nonlinear models. As illustrative examples, using the proposed protocols, a networked unicycle robots with/without time delay, and a multi-system tricycle robots achieve consensus in finite time.","PeriodicalId":158545,"journal":{"name":"2020 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"46 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120977148","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}
Pub Date : 2020-12-20DOI: 10.1109/STA50679.2020.9329337
Shili Mohamed, Kaouther Sethom
in this work, we present how we can integrate RFID technology and the Internet of Things into an e-commerce system. In fact, radio frequency identification is the latest innovation used in the trade to deal with automated items and distinguish every attempt to take or lose any item. This current paper addresses the Internet of Things based on an e-commerce architecture aimed at automating the sales transaction process. We proposed a prototype for an e-commerce system.
{"title":"Incorporating RFID Technology and IOT into a E-Commerce: A Step toward Intelligent Purchasing Processes","authors":"Shili Mohamed, Kaouther Sethom","doi":"10.1109/STA50679.2020.9329337","DOIUrl":"https://doi.org/10.1109/STA50679.2020.9329337","url":null,"abstract":"in this work, we present how we can integrate RFID technology and the Internet of Things into an e-commerce system. In fact, radio frequency identification is the latest innovation used in the trade to deal with automated items and distinguish every attempt to take or lose any item. This current paper addresses the Internet of Things based on an e-commerce architecture aimed at automating the sales transaction process. We proposed a prototype for an e-commerce system.","PeriodicalId":158545,"journal":{"name":"2020 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125093616","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}
Pub Date : 2020-12-20DOI: 10.1109/STA50679.2020.9329320
M. Elouni, B. Rabaoui, H. Hamdi, N. Braiek
This manuscript describes an extended Fault Tolerant Tracking Control (FTTC) scheme for Takagi-Sugeno (T-S) fuzzy models disturbed by actuator faults. Firstly, an Adaptive Fuzzy Observer (AFO) is employed to reconstruct state and actuator's faults. The delivered information by this AFO, is used to develop an adaptive Proportional-Integral-Derivative (PID) active fault tolerant controller. The purpose of the designed PID controller is to compensate the incipient actuator fault impacts and to guaranteeing trajectory tracking of the outputs to the reference responses. Stability and trajectory tracking performances of the suggested methodology are examined by the Lyapunov concept. Sufficient conditions are obtained and solved for the design of the controller and the observer gains using Linear Matrices Inequalities (LMIs). After All, a benchmark model is presented to demonstrate the validity and feasibility of the theoretical results.
{"title":"Adaptive PID Takagi-Sugeno Actuator Fault Tolerant Tracking Control for Nonlinear Systems","authors":"M. Elouni, B. Rabaoui, H. Hamdi, N. Braiek","doi":"10.1109/STA50679.2020.9329320","DOIUrl":"https://doi.org/10.1109/STA50679.2020.9329320","url":null,"abstract":"This manuscript describes an extended Fault Tolerant Tracking Control (FTTC) scheme for Takagi-Sugeno (T-S) fuzzy models disturbed by actuator faults. Firstly, an Adaptive Fuzzy Observer (AFO) is employed to reconstruct state and actuator's faults. The delivered information by this AFO, is used to develop an adaptive Proportional-Integral-Derivative (PID) active fault tolerant controller. The purpose of the designed PID controller is to compensate the incipient actuator fault impacts and to guaranteeing trajectory tracking of the outputs to the reference responses. Stability and trajectory tracking performances of the suggested methodology are examined by the Lyapunov concept. Sufficient conditions are obtained and solved for the design of the controller and the observer gains using Linear Matrices Inequalities (LMIs). After All, a benchmark model is presented to demonstrate the validity and feasibility of the theoretical results.","PeriodicalId":158545,"journal":{"name":"2020 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127035224","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}
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