Pub Date : 2017-05-01DOI: 10.1109/ICOSC.2017.7958722
Salwa Yahia, S. Bedoui, K. Abderrahim
In the present work, we proposed a novel approach which allows the estimation of actuator fault and its compensation correctly for switched hybrid system. So, to thwart the impact of the fault we extended and developed a fault tolerant control (FTC) for switched system. The synthesis of it needs to follow three important steps. The first step, is based on the use of the Data-based Projection Method (MPD) to identify the fault perfectly. The second step, insures the estimation of the unavailable state utilizing the switched observer design. The third step is to calculate the nominal control, then combine it to an additive control already determined. This proposed method allows to the switched system to keep its performances in spite of occurrence of the actuator fault. An example is provided to confirm the significance of the proposed strategy.
{"title":"An extended FTC based on the MPD for the switched system","authors":"Salwa Yahia, S. Bedoui, K. Abderrahim","doi":"10.1109/ICOSC.2017.7958722","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958722","url":null,"abstract":"In the present work, we proposed a novel approach which allows the estimation of actuator fault and its compensation correctly for switched hybrid system. So, to thwart the impact of the fault we extended and developed a fault tolerant control (FTC) for switched system. The synthesis of it needs to follow three important steps. The first step, is based on the use of the Data-based Projection Method (MPD) to identify the fault perfectly. The second step, insures the estimation of the unavailable state utilizing the switched observer design. The third step is to calculate the nominal control, then combine it to an additive control already determined. This proposed method allows to the switched system to keep its performances in spite of occurrence of the actuator fault. An example is provided to confirm the significance of the proposed strategy.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125598564","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 : 2017-05-01DOI: 10.1109/ICOSC.2017.7958666
Amal Marrekchi, Soulaymen Kammoun, S. Sallem, M. B. A. Kammon
In Grid-Connected PV system should not be limited injecting the active power into the grid. However, it must be able to absorb or to generate sufficient reactive power for a certain amount of time according to the grid demand and maintain the grid voltage. This paper proposes sliding mode control that controls powers respectively the active and the reactive power for a Three-Phase Grid-Connected PV System. The sliding mode control based on dq transformation, after determining the desired voltage of the inverter Vd and Vd in the rotating frame, which means a reactive power quantity that defines the angle phase between the grid current and voltage. This controller is simulated on a 10 MW PV generator system using Matlab/SIMULINK. According to the simulation results prove the efficiency and robustness of the sliding mode control to regulate the injected reactive power.
{"title":"Sliding mode control of reactive power for Three-Phase Grid-Connected photovoltaic System","authors":"Amal Marrekchi, Soulaymen Kammoun, S. Sallem, M. B. A. Kammon","doi":"10.1109/ICOSC.2017.7958666","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958666","url":null,"abstract":"In Grid-Connected PV system should not be limited injecting the active power into the grid. However, it must be able to absorb or to generate sufficient reactive power for a certain amount of time according to the grid demand and maintain the grid voltage. This paper proposes sliding mode control that controls powers respectively the active and the reactive power for a Three-Phase Grid-Connected PV System. The sliding mode control based on dq transformation, after determining the desired voltage of the inverter Vd and Vd in the rotating frame, which means a reactive power quantity that defines the angle phase between the grid current and voltage. This controller is simulated on a 10 MW PV generator system using Matlab/SIMULINK. According to the simulation results prove the efficiency and robustness of the sliding mode control to regulate the injected reactive power.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":" 67","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113952472","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 : 2017-05-01DOI: 10.1109/ICOSC.2017.7958700
Ahmed Allam, M. Tadjine, A. Nemra, Elhaouari Kobzili
The autonomous navigation task of a mobile robot depends on its ability of localization and owning a description about its environment. To deal with these requirements, robots need to be equipped with Simultaneous Localization and Mapping (SLAM) module. This earlier could be solved by many approaches, mostly based on the stochastic approach, using extended Kalman filter (EKF) or the Rao-Blackwellized particle filter. The SLAM has been already approached using a new alternative filter which is the Smooth Variable Structure Filter (SVSF). This estimator is a predictor corrector formulated on the theory of sliding mode control and variable structure systems. The first version of SVSF uses a predefined Boundary Layer Width vector and don't require covariance derivation. In this work, we propose using a new form of SVSF to deal with the SLAM problem based on an adaptive (optimal) boundary layer matrix. The (ASVSF) is very robust estimator against modeling errors and noises and keeps a compromise between robustness and accuracy. Visual SVSF-SLAM and ASVSF-SLAM are implemented, validated with experimentation and compared with EKF-SLAM algorithm. The comparison of simulation results proofs the efficiency, robustness and the accuracy of ASVSF-SLAM comparing to the other algorithms, while the experimental results show that ASVSF-SLAM is the less accurate.
{"title":"Stereo vision as a sensor for SLAM based Smooth Variable Structure Filter with an adaptive Boundary Layer Width","authors":"Ahmed Allam, M. Tadjine, A. Nemra, Elhaouari Kobzili","doi":"10.1109/ICOSC.2017.7958700","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958700","url":null,"abstract":"The autonomous navigation task of a mobile robot depends on its ability of localization and owning a description about its environment. To deal with these requirements, robots need to be equipped with Simultaneous Localization and Mapping (SLAM) module. This earlier could be solved by many approaches, mostly based on the stochastic approach, using extended Kalman filter (EKF) or the Rao-Blackwellized particle filter. The SLAM has been already approached using a new alternative filter which is the Smooth Variable Structure Filter (SVSF). This estimator is a predictor corrector formulated on the theory of sliding mode control and variable structure systems. The first version of SVSF uses a predefined Boundary Layer Width vector and don't require covariance derivation. In this work, we propose using a new form of SVSF to deal with the SLAM problem based on an adaptive (optimal) boundary layer matrix. The (ASVSF) is very robust estimator against modeling errors and noises and keeps a compromise between robustness and accuracy. Visual SVSF-SLAM and ASVSF-SLAM are implemented, validated with experimentation and compared with EKF-SLAM algorithm. The comparison of simulation results proofs the efficiency, robustness and the accuracy of ASVSF-SLAM comparing to the other algorithms, while the experimental results show that ASVSF-SLAM is the less accurate.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117117986","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 : 2017-05-01DOI: 10.1109/ICOSC.2017.7958706
Y. Massaoudi, D. Elleuch, D. Mehdi, J. Gaubert, T. Damak
The real implementation of DC-DC boost converters controllers is slightly difficult due to their non minimum phase behavior and the non zero output voltage error. Integral Sliding Mode Controllers (ISMC)s have proved to be able to deal with this kind of converters and to eliminate the chattering phenomenon. In order to cancel the output voltage error, we apply in this paper, an ISMC to a detailed modelling of boost converter (by considering the associated parasites). Numerical and experimental comparative studies with the ideal case and the classical SMC verify the effectiveness and the robustness of this controller.
{"title":"Improved dynamic response of a non ideal DC-DC boost converter using an Integral Sliding Mode Controller","authors":"Y. Massaoudi, D. Elleuch, D. Mehdi, J. Gaubert, T. Damak","doi":"10.1109/ICOSC.2017.7958706","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958706","url":null,"abstract":"The real implementation of DC-DC boost converters controllers is slightly difficult due to their non minimum phase behavior and the non zero output voltage error. Integral Sliding Mode Controllers (ISMC)s have proved to be able to deal with this kind of converters and to eliminate the chattering phenomenon. In order to cancel the output voltage error, we apply in this paper, an ISMC to a detailed modelling of boost converter (by considering the associated parasites). Numerical and experimental comparative studies with the ideal case and the classical SMC verify the effectiveness and the robustness of this controller.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121043897","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 : 2017-05-01DOI: 10.1109/ICOSC.2017.7958695
Amor Ounissi, K. Yakoub, A. Kaddouri, R. Abdessemed
In this paper, an adaptive tracking controller for a piezo-actuated stage is designed considering the LUGRE model. The adaptation algorithm of the parameterized hysteretic function is used to achieve a displacement-tracking objective under the mechanical parameters uncertainties. The Lyapunov theory is used to derive an adaptive law for the system stability. The effectiveness of the proposed controller is validated considering real-time simulation. The validation results of the proposed controller presents good performances and robustness under an external load-disturbance and parameter uncertainties.
{"title":"Robust adaptive displacement tracking control of a piezo-actuated stage","authors":"Amor Ounissi, K. Yakoub, A. Kaddouri, R. Abdessemed","doi":"10.1109/ICOSC.2017.7958695","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958695","url":null,"abstract":"In this paper, an adaptive tracking controller for a piezo-actuated stage is designed considering the LUGRE model. The adaptation algorithm of the parameterized hysteretic function is used to achieve a displacement-tracking objective under the mechanical parameters uncertainties. The Lyapunov theory is used to derive an adaptive law for the system stability. The effectiveness of the proposed controller is validated considering real-time simulation. The validation results of the proposed controller presents good performances and robustness under an external load-disturbance and parameter uncertainties.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"371 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126965949","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 : 2017-05-01DOI: 10.1109/ICOSC.2017.7958658
S. Seghour, M. Tadjine
This paper aims to investigate the formation control of multiple no-holonomic mobile robots based on consensus approach while guarantee inter-collision avoidance among robots. The proposed approach design a controller benefit of the product of Lyapunov and graph theory permit a group of agents to converge to a desired virtual geometric shape defined as an n-ellipsoid with its center track the desired reference trajectory. Furthermore, we inject into the proposed consensus algorithm a Fuzzy logic system to calculate the robot translation and angular velocity to keep the formation and get the desired direction of the virtual leader robot. Moreover, we have constructed a simulator for a small group of robots in a 3D environment founded on the Robot Operating System and Gazebo. The simulation results verify the effectiveness of the proposed method.
{"title":"Consensus-based approach and reactive fuzzy navigation for multiple no-holonomic mobile robots","authors":"S. Seghour, M. Tadjine","doi":"10.1109/ICOSC.2017.7958658","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958658","url":null,"abstract":"This paper aims to investigate the formation control of multiple no-holonomic mobile robots based on consensus approach while guarantee inter-collision avoidance among robots. The proposed approach design a controller benefit of the product of Lyapunov and graph theory permit a group of agents to converge to a desired virtual geometric shape defined as an n-ellipsoid with its center track the desired reference trajectory. Furthermore, we inject into the proposed consensus algorithm a Fuzzy logic system to calculate the robot translation and angular velocity to keep the formation and get the desired direction of the virtual leader robot. Moreover, we have constructed a simulator for a small group of robots in a 3D environment founded on the Robot Operating System and Gazebo. The simulation results verify the effectiveness of the proposed method.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134269362","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 : 2017-05-01DOI: 10.1109/ICOSC.2017.7958637
M. Mellal, S. Adjerid, E. Williams
Nowadays, rapid technological change influences the dependability of industrial components by the phenomenon of “obsolescence.” The technological obsolescence of a unit is characterized by the existence of a new-generation unit possessing identical functionalities, but with improved performances. The industrial firms seek to optimally replace the old-generation units by maximizing the number of replaced items, in order to deal with obsolescence of the plant. This paper presents the applicability of a flexible model for thirty components, using a modern bio-inspired and evolutionary computational algorithm called “Cuckoo Optimization Algorithm (COA).”
{"title":"Replacement optimization of industrial components subject to technological obsolescence using artificial intelligence","authors":"M. Mellal, S. Adjerid, E. Williams","doi":"10.1109/ICOSC.2017.7958637","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958637","url":null,"abstract":"Nowadays, rapid technological change influences the dependability of industrial components by the phenomenon of “obsolescence.” The technological obsolescence of a unit is characterized by the existence of a new-generation unit possessing identical functionalities, but with improved performances. The industrial firms seek to optimally replace the old-generation units by maximizing the number of replaced items, in order to deal with obsolescence of the plant. This paper presents the applicability of a flexible model for thirty components, using a modern bio-inspired and evolutionary computational algorithm called “Cuckoo Optimization Algorithm (COA).”","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133933316","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 : 2017-05-01DOI: 10.1109/ICOSC.2017.7958693
T. Ameid, A. Menacer, H. Talhaoui, I. Harzelli, A. Ammar
This paper presents a backstepping nonlinear control algorithm based on the field-oriented strategy of the induction motor drive. The control design of the IM is based on the reduced model (dedicate for the fault diagnosis) of the squirrel rotor cage in healthy state. Backstepping technique is suggested for obtaining good dynamic motion control systems by replacing the traditional PI controllers. The control algorithm will be verified through numerical simulation and Real-Time implementation using Matlab/Simulink environment with Real-Time interface based on the dSpace 1104.
{"title":"Backstepping control for induction motor drive using reduced model in healthy state: Simulation and experimental study","authors":"T. Ameid, A. Menacer, H. Talhaoui, I. Harzelli, A. Ammar","doi":"10.1109/ICOSC.2017.7958693","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958693","url":null,"abstract":"This paper presents a backstepping nonlinear control algorithm based on the field-oriented strategy of the induction motor drive. The control design of the IM is based on the reduced model (dedicate for the fault diagnosis) of the squirrel rotor cage in healthy state. Backstepping technique is suggested for obtaining good dynamic motion control systems by replacing the traditional PI controllers. The control algorithm will be verified through numerical simulation and Real-Time implementation using Matlab/Simulink environment with Real-Time interface based on the dSpace 1104.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130291757","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 : 2017-05-01DOI: 10.1109/ICOSC.2017.7958662
S. Khesrani, A. Hassam, M. Boubezoula, F. Srairi
This paper presents a new control strategy of autonomous mobile robot in running environment. The robot is considered as an individual agent aimed at executes different tasks in term of motion under constraints applied on robot structure. The flat model of Pioneer 3dx robot is developed in order to prove that the system is flat and has various helpful properties which can be exploited to build the control investigation for such system. The developed control strategy is based on coupling between two techniques which are the flatness and the fuzzy logic technique. The flatness technique is used to planning an optimal trajectory and eliminates the non linearity effects of the model. Further, the fuzzy technique is employed to adjust the control law gains in real time and ensure a good tracking trajectory with high performances in terms of response time and dynamic error. The developed control strategy is simulated and tested using MobileSim simulator of Pioneer 3DX to validate the obtained results, where a good agreement is achieved.
{"title":"Modeling and control of mobile platform using flatness-fuzzy based approach with gains adjustment","authors":"S. Khesrani, A. Hassam, M. Boubezoula, F. Srairi","doi":"10.1109/ICOSC.2017.7958662","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958662","url":null,"abstract":"This paper presents a new control strategy of autonomous mobile robot in running environment. The robot is considered as an individual agent aimed at executes different tasks in term of motion under constraints applied on robot structure. The flat model of Pioneer 3dx robot is developed in order to prove that the system is flat and has various helpful properties which can be exploited to build the control investigation for such system. The developed control strategy is based on coupling between two techniques which are the flatness and the fuzzy logic technique. The flatness technique is used to planning an optimal trajectory and eliminates the non linearity effects of the model. Further, the fuzzy technique is employed to adjust the control law gains in real time and ensure a good tracking trajectory with high performances in terms of response time and dynamic error. The developed control strategy is simulated and tested using MobileSim simulator of Pioneer 3DX to validate the obtained results, where a good agreement is achieved.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128794758","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 : 2017-05-01DOI: 10.1109/ICOSC.2017.7958671
Larbi Djilali, E. Sánchez, M. Belkheiri
Wind energy has many advantages, because it does not pollute and is an inexhaustible source of energy. The Double Fed Induction Generator (DFIG) is one of the most important electric generator used for Horizontal Axis Wind Turbine (HAWT). In this paper, a Discrete-time Neural Input-Output Feedback Linearization Control (N-IOFLC) for DFIG is proposed to force the rotor currents to track specified reference defined form the desired stator active and reactive powers, using the fourth order d − q model of the DFIG with rotor and stator currents as state variables. The DFIG rotor is coupled to the grid via a power converters, while the stator is linked directly to the electric network. The proposed controller is designed using a Recurrent High Order Neural Network (RHONN), trained with an Extended Kalman Filter (EKF). The RHONN works as an identifier to obtain an adequate model of DFIG which is robust to disturbances and parameter variations. The effectiveness of the proposed control scheme of DFIG is confirmed by simulation results obtained using Matlab/Similink.
{"title":"Discrete-Time Neural Input Output Feedback Linearization Control for a DFIG based Wind Turbine","authors":"Larbi Djilali, E. Sánchez, M. Belkheiri","doi":"10.1109/ICOSC.2017.7958671","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958671","url":null,"abstract":"Wind energy has many advantages, because it does not pollute and is an inexhaustible source of energy. The Double Fed Induction Generator (DFIG) is one of the most important electric generator used for Horizontal Axis Wind Turbine (HAWT). In this paper, a Discrete-time Neural Input-Output Feedback Linearization Control (N-IOFLC) for DFIG is proposed to force the rotor currents to track specified reference defined form the desired stator active and reactive powers, using the fourth order d − q model of the DFIG with rotor and stator currents as state variables. The DFIG rotor is coupled to the grid via a power converters, while the stator is linked directly to the electric network. The proposed controller is designed using a Recurrent High Order Neural Network (RHONN), trained with an Extended Kalman Filter (EKF). The RHONN works as an identifier to obtain an adequate model of DFIG which is robust to disturbances and parameter variations. The effectiveness of the proposed control scheme of DFIG is confirmed by simulation results obtained using Matlab/Similink.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"323 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115460619","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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