Pub Date : 2017-11-01DOI: 10.1109/ICCIAUTOM.2017.8258654
M. Enjavimadar, B. Safarinejadian, M. Mozaffari
In this paper, an innovative fault detection method has been presented for nonlinear systems based on interval type-2 fuzzy model. In the proposed approach, a confidence bound has been obtained for the input-output data in the normal operating conditions of the system. The confidence bound is approximated by using a fuzzy model with interval parameters. Confident bound makes it possible to use arbitrary sets of identification input signals. Finally, a chemical reactor system has been used to demonstrate the benefits of the proposed method in fault detection applications.
{"title":"Interval type-2 fuzzy set application in fault detection for chemical reactor with TLBO algorithm","authors":"M. Enjavimadar, B. Safarinejadian, M. Mozaffari","doi":"10.1109/ICCIAUTOM.2017.8258654","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2017.8258654","url":null,"abstract":"In this paper, an innovative fault detection method has been presented for nonlinear systems based on interval type-2 fuzzy model. In the proposed approach, a confidence bound has been obtained for the input-output data in the normal operating conditions of the system. The confidence bound is approximated by using a fuzzy model with interval parameters. Confident bound makes it possible to use arbitrary sets of identification input signals. Finally, a chemical reactor system has been used to demonstrate the benefits of the proposed method in fault detection applications.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130521394","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 : 2017-11-01DOI: 10.1109/ICCIAUTOM.2017.8258645
Monir Rezaee, Nargess Sadeghzadeh-Nokhodberiz, J. Poshtan
A successful fault detection (FD) procedure depends on correct sensory measurements which may suffer from different sensory soft faults in the form of bias, drift, scaling factor and hard faults which cannot be identified and detected in a standalone use but in combination with other sensors. Thus in this paper the problem of sensory fault detection is considered fusing sensory information. The sensory soft faults are modeled and augmented to electro-pump state space model. Nonlinear model of induction motor is linearized and a state space model for pump subsystem is developed using electrical analogy approach. Both system states and augmented sensory soft faults are then estimated employing a Kalman filter. The efficiency of the method in finally evaluated through simulation.
{"title":"Kalman filter based sensor fault detection and identification in an electro-pump system","authors":"Monir Rezaee, Nargess Sadeghzadeh-Nokhodberiz, J. Poshtan","doi":"10.1109/ICCIAUTOM.2017.8258645","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2017.8258645","url":null,"abstract":"A successful fault detection (FD) procedure depends on correct sensory measurements which may suffer from different sensory soft faults in the form of bias, drift, scaling factor and hard faults which cannot be identified and detected in a standalone use but in combination with other sensors. Thus in this paper the problem of sensory fault detection is considered fusing sensory information. The sensory soft faults are modeled and augmented to electro-pump state space model. Nonlinear model of induction motor is linearized and a state space model for pump subsystem is developed using electrical analogy approach. Both system states and augmented sensory soft faults are then estimated employing a Kalman filter. The efficiency of the method in finally evaluated through simulation.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114079251","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 : 2017-11-01DOI: 10.1109/ICCIAUTOM.2017.8258665
Anahita Moradmand, H. Khaloozadeh
To design model-based controllers for industrial systems, an accurate mathematical model is necessary. Over time, most of these models are changed and the former controllers should be modified to achieve good performance. Hydro systems, according to their wide application over last forty years, are an interesting field of research. In this paper, based on the system identification and adaptive control theory, a special scheme for modeling and controller design of an old ElectroHydro servo-system is proposed. Industrial process control suffering from noise and saturation as two main problematic factors. Here by conducting an experiment, the identification and control are employed in linear period of the nonlinear system. To specify the order of system, Matlab Ident toolbox, Hankel matrix and Hankel singular values are used. Recursive Least Square (RLS) method is implemented to determine estimated parameters. Designing a practical self-tuning regulator is a significant task too. Due to the inappropriate results of controlled system, a corrected regulator is generated. Finally, acceptable simulations are recorded and demonstrated.
{"title":"An experimental study of modeling and self-tuning regulator design for an electro-hydro servo-system","authors":"Anahita Moradmand, H. Khaloozadeh","doi":"10.1109/ICCIAUTOM.2017.8258665","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2017.8258665","url":null,"abstract":"To design model-based controllers for industrial systems, an accurate mathematical model is necessary. Over time, most of these models are changed and the former controllers should be modified to achieve good performance. Hydro systems, according to their wide application over last forty years, are an interesting field of research. In this paper, based on the system identification and adaptive control theory, a special scheme for modeling and controller design of an old ElectroHydro servo-system is proposed. Industrial process control suffering from noise and saturation as two main problematic factors. Here by conducting an experiment, the identification and control are employed in linear period of the nonlinear system. To specify the order of system, Matlab Ident toolbox, Hankel matrix and Hankel singular values are used. Recursive Least Square (RLS) method is implemented to determine estimated parameters. Designing a practical self-tuning regulator is a significant task too. Due to the inappropriate results of controlled system, a corrected regulator is generated. Finally, acceptable simulations are recorded and demonstrated.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130616315","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 : 2017-11-01DOI: 10.1109/ICCIAUTOM.2017.8258682
M. Nemati, F. Hashemzadeh, M. Baradarannia, A. Ghiasi
A new method is presented in this article to control linear time-delay systems using Lambert W function. The absence of a sufficient proof for using matrix Lambert W function in controlling time-delay systems has frustrated researchers. It is a well-established fact that unlike Lambert W Function, the matrix version still lacks the proof, which would guarantee the validity of finding the right-most eigenvalue of linear time-delay systems using this function. This paper presents a new approach in which, a system from any order is forced to use scalar Lambert W function instead of unreliable matrix version. This article studies systems with input delay and state delay respectively and for both of them, sufficient conditions for eigenvalue assignment are proposed.
{"title":"An analytical eigenvalue assignment of linear time-delay systems using Lambert W function","authors":"M. Nemati, F. Hashemzadeh, M. Baradarannia, A. Ghiasi","doi":"10.1109/ICCIAUTOM.2017.8258682","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2017.8258682","url":null,"abstract":"A new method is presented in this article to control linear time-delay systems using Lambert W function. The absence of a sufficient proof for using matrix Lambert W function in controlling time-delay systems has frustrated researchers. It is a well-established fact that unlike Lambert W Function, the matrix version still lacks the proof, which would guarantee the validity of finding the right-most eigenvalue of linear time-delay systems using this function. This paper presents a new approach in which, a system from any order is forced to use scalar Lambert W function instead of unreliable matrix version. This article studies systems with input delay and state delay respectively and for both of them, sufficient conditions for eigenvalue assignment are proposed.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117083140","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 : 2017-11-01DOI: 10.1109/ICCIAUTOM.2017.8258655
H. Behzad, M. Sadrnia, A. Darabi, A. Ramezani
In this paper an energetic based approach is presented for a class of Linear Parameter Varying (LPV) systems subject to sensor and component faults. The main purpose of this research is to estimate the stator winding faults of an electrical induction motor. To this end, a quasi-LPV model is derived, on the basis of the nonlinear model of induction motor. Then, an algebraic technique is addressed to derive a regressor description of the system energy balance, where the regressor coefficients are stator winding fault. This formulation provides the possibility of using the Least Square(LS) technique to component fault estimation. The effectiveness of the proposed method is illustrated in a final numerical example.
{"title":"A fault diagnosis approach for electrical induction motors via energetic based scheme","authors":"H. Behzad, M. Sadrnia, A. Darabi, A. Ramezani","doi":"10.1109/ICCIAUTOM.2017.8258655","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2017.8258655","url":null,"abstract":"In this paper an energetic based approach is presented for a class of Linear Parameter Varying (LPV) systems subject to sensor and component faults. The main purpose of this research is to estimate the stator winding faults of an electrical induction motor. To this end, a quasi-LPV model is derived, on the basis of the nonlinear model of induction motor. Then, an algebraic technique is addressed to derive a regressor description of the system energy balance, where the regressor coefficients are stator winding fault. This formulation provides the possibility of using the Least Square(LS) technique to component fault estimation. The effectiveness of the proposed method is illustrated in a final numerical example.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"547 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125031279","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 : 2017-11-01DOI: 10.1109/ICCIAUTOM.2017.8258697
E. Bagheri, N. Tashakor, E. Farjah, T. Ghanbari
Control capability of reactive power in a boost rectifier converter is a crucial requirement. Other existing concerns are current and output voltage ripples. In this paper, an extendable interleaved topology for high power switching rectifiers with reactive power control and reduced current ripple in input side is presented. Converter theory and developed control are expressed in detail for a six-leg structure that can be extended to any number of interleaved legs. Due to peculiar structure and control, input current is reduced which result in reducing L size in the input side. The carried out simulations in MATLAB software confirm the performance of the proposed structure and control strategy.
{"title":"Interleaved boost converter with reactive power control and harmonic reduction capability","authors":"E. Bagheri, N. Tashakor, E. Farjah, T. Ghanbari","doi":"10.1109/ICCIAUTOM.2017.8258697","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2017.8258697","url":null,"abstract":"Control capability of reactive power in a boost rectifier converter is a crucial requirement. Other existing concerns are current and output voltage ripples. In this paper, an extendable interleaved topology for high power switching rectifiers with reactive power control and reduced current ripple in input side is presented. Converter theory and developed control are expressed in detail for a six-leg structure that can be extended to any number of interleaved legs. Due to peculiar structure and control, input current is reduced which result in reducing L size in the input side. The carried out simulations in MATLAB software confirm the performance of the proposed structure and control strategy.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133901946","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 : 2017-11-01DOI: 10.1109/ICCIAUTOM.2017.8258651
S. Olyaee, Abdollah Gorgani Firoozjah, Ali R. Naraghi
Laser encoders can be used in robotic, control, and automation systems. In this paper, periodic nonlinear error of laser encoder resulting from imperfect polarized laser beam is mathematically analyzed and modeled by using the Jones matrix analysis for a robotic system. The photocurrents of each photodetector are mathematically obtained and simulated and the nano-displacement of scale grating is calculated by arctangent method. In addition, with the aim of compensating the periodic nonlinear error, the effect of reducing grating period of scale grating is examined. Simulation results show that there is a direct relationship between the grating period and periodic nonlinear error. Results reveal that by changing the grating period from 1 pm to 0.4 pm, the periodic nonlinear error reduces from 14.8 nm to 5.8 nm.
{"title":"Mathematically modeling of imperfect polarized laser beam in laser encoders for automotive applications","authors":"S. Olyaee, Abdollah Gorgani Firoozjah, Ali R. Naraghi","doi":"10.1109/ICCIAUTOM.2017.8258651","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2017.8258651","url":null,"abstract":"Laser encoders can be used in robotic, control, and automation systems. In this paper, periodic nonlinear error of laser encoder resulting from imperfect polarized laser beam is mathematically analyzed and modeled by using the Jones matrix analysis for a robotic system. The photocurrents of each photodetector are mathematically obtained and simulated and the nano-displacement of scale grating is calculated by arctangent method. In addition, with the aim of compensating the periodic nonlinear error, the effect of reducing grating period of scale grating is examined. Simulation results show that there is a direct relationship between the grating period and periodic nonlinear error. Results reveal that by changing the grating period from 1 pm to 0.4 pm, the periodic nonlinear error reduces from 14.8 nm to 5.8 nm.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123247536","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 : 2017-11-01DOI: 10.1109/ICCIAUTOM.2017.8258667
Fariba Bouzari Liavoli, A. Fakharian
The Air Handling Unit (AHU) is used to provide clean air in the air conditioning systems that regulate both temperature and humidity to desired values. Because of nonlinear and complex nature of coupling between the air handling system variables, an effective control system confronts many challenges. Hence using an approach that can consider all the complexities of the dynamics model in terms of control process is impossible. In this paper, the State Dependent Riccati Equation (SDRE) approach is used for nonlinear optimal control of AHU system. In the proposed method, by using pseudo-linearization and maintaining all nonlinear features of system, optimal control law is produced for both stabilization and online output tracking. In addition, for tracking reference paths, the SDRE approach would be able to control effort and minimize the energy consumption. The SDRE approach is the state feedback control method. The simulation results show good performance of the SDRE method in the tracking reference paths despite the change of equilibrium point and disturbance in comparison with LQR.
{"title":"Nonlinear optimal control of air handling unit via State Dependent Riccati Equation approach","authors":"Fariba Bouzari Liavoli, A. Fakharian","doi":"10.1109/ICCIAUTOM.2017.8258667","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2017.8258667","url":null,"abstract":"The Air Handling Unit (AHU) is used to provide clean air in the air conditioning systems that regulate both temperature and humidity to desired values. Because of nonlinear and complex nature of coupling between the air handling system variables, an effective control system confronts many challenges. Hence using an approach that can consider all the complexities of the dynamics model in terms of control process is impossible. In this paper, the State Dependent Riccati Equation (SDRE) approach is used for nonlinear optimal control of AHU system. In the proposed method, by using pseudo-linearization and maintaining all nonlinear features of system, optimal control law is produced for both stabilization and online output tracking. In addition, for tracking reference paths, the SDRE approach would be able to control effort and minimize the energy consumption. The SDRE approach is the state feedback control method. The simulation results show good performance of the SDRE method in the tracking reference paths despite the change of equilibrium point and disturbance in comparison with LQR.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115389988","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 : 2017-11-01DOI: 10.1109/ICCIAUTOM.2017.8258687
Mariam Elnour, N. Meskin
Most buildings nowadays are equipped with Heating, Ventilation, and Air-Conditioning (HVAC) systems dedicated for processing indoor air in terms of different parameters: temperature, humidity, pressure, and quality. Recent studies show that developed countries consume up to 40% of the energy on commercial buildings and half of that is used for air-conditioning purposes, more precisely in air cooling and heating. For that, it is important to develop efficient HVAC control systems that minimize energy usage and achieve occupants' comfort. Buildings are composed of multiple interconnected zones and the simple HVAC control approach is to control zones temperatures locally based on the thermal loads of individual zones. However, it is realistic to account for the thermal interaction between the zones in the controller design to analyze the extent of its effects on the HVAC control system. This paper discusses the design of two-zone HVAC control system using feedback linearization considering the presence of zones interaction. The zones interaction is modeled using physics and thermodynamics laws. The effect of the interaction on control effort and tracking error is analyzed using simulation results.
{"title":"Multi-zone HVAC control system design using feedback linearization","authors":"Mariam Elnour, N. Meskin","doi":"10.1109/ICCIAUTOM.2017.8258687","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2017.8258687","url":null,"abstract":"Most buildings nowadays are equipped with Heating, Ventilation, and Air-Conditioning (HVAC) systems dedicated for processing indoor air in terms of different parameters: temperature, humidity, pressure, and quality. Recent studies show that developed countries consume up to 40% of the energy on commercial buildings and half of that is used for air-conditioning purposes, more precisely in air cooling and heating. For that, it is important to develop efficient HVAC control systems that minimize energy usage and achieve occupants' comfort. Buildings are composed of multiple interconnected zones and the simple HVAC control approach is to control zones temperatures locally based on the thermal loads of individual zones. However, it is realistic to account for the thermal interaction between the zones in the controller design to analyze the extent of its effects on the HVAC control system. This paper discusses the design of two-zone HVAC control system using feedback linearization considering the presence of zones interaction. The zones interaction is modeled using physics and thermodynamics laws. The effect of the interaction on control effort and tracking error is analyzed using simulation results.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127395849","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 : 2017-11-01DOI: 10.1109/ICCIAUTOM.2017.8258644
M. Shahriari-kahkeshi
In this work, an adaptive dynamic surface control scheme is studied for a class of nonlinear systems with unknown functions and unknown non-symmetric dead-zone nonlinearity. The unknown asymmetric dead-zone is described as a combination of a linear term and a disturbance-like term. Radial basis function neural networks (RBFNNs) are used in the online approximation of unknown functions and disturbance-like term of the dead-zone model and adaptive laws are designed to adjust the weights of network. Using the RBFNN-based model, the dead-zone model and the dynamic surface control (DSC) technique, the adaptive control scheme is developed for uncertain nonlinear systems with dead-zone nonlinearity. The proposed scheme eliminates the ‘explosion of complexity’ problem and presents a singular-free adaptive DSC control scheme. Also, it does not require any knowledge about unknown terms and the dead-zone nonlinearity. Simulation results are provided to demonstrate the performance and effectiveness of the proposed approach.
{"title":"Radial basis function neural network-based control for uncertain nonlinear systems with unknown dead-zone input","authors":"M. Shahriari-kahkeshi","doi":"10.1109/ICCIAUTOM.2017.8258644","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2017.8258644","url":null,"abstract":"In this work, an adaptive dynamic surface control scheme is studied for a class of nonlinear systems with unknown functions and unknown non-symmetric dead-zone nonlinearity. The unknown asymmetric dead-zone is described as a combination of a linear term and a disturbance-like term. Radial basis function neural networks (RBFNNs) are used in the online approximation of unknown functions and disturbance-like term of the dead-zone model and adaptive laws are designed to adjust the weights of network. Using the RBFNN-based model, the dead-zone model and the dynamic surface control (DSC) technique, the adaptive control scheme is developed for uncertain nonlinear systems with dead-zone nonlinearity. The proposed scheme eliminates the ‘explosion of complexity’ problem and presents a singular-free adaptive DSC control scheme. Also, it does not require any knowledge about unknown terms and the dead-zone nonlinearity. Simulation results are provided to demonstrate the performance and effectiveness of the proposed approach.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124240215","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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