Pub Date : 2017-10-01DOI: 10.23919/ICCAS.2017.8204404
Mi-Young Cho, Youngsook Jeong
Recently, with the increase in the number of social robots, there is a growing interest in face recognition technology for natural interaction between humans and robots. As a result, there is a growing demand for technology that can be used to evaluate the performance of face recognition capable of ensuring reproducibility and objectivity in real service environments. The best way to replace real faces for performance evaluation is to use the facial image output from a display device. Previous studies have reported no significant difference between recognition performance for real faces and facial image output from a display device. However, the question remains whether a difference exists between two images at the low levels; if it does, then how does it affect face recognition performance? To answer these questions, the current study shows color differences before and after the adjustment by using color as a representative feature at the low level, and validates the proposed evaluation method by comparing the differences in recognizing two images.
{"title":"Improvement of face recognition performance evaluation technology by using a display device through color adjustment","authors":"Mi-Young Cho, Youngsook Jeong","doi":"10.23919/ICCAS.2017.8204404","DOIUrl":"https://doi.org/10.23919/ICCAS.2017.8204404","url":null,"abstract":"Recently, with the increase in the number of social robots, there is a growing interest in face recognition technology for natural interaction between humans and robots. As a result, there is a growing demand for technology that can be used to evaluate the performance of face recognition capable of ensuring reproducibility and objectivity in real service environments. The best way to replace real faces for performance evaluation is to use the facial image output from a display device. Previous studies have reported no significant difference between recognition performance for real faces and facial image output from a display device. However, the question remains whether a difference exists between two images at the low levels; if it does, then how does it affect face recognition performance? To answer these questions, the current study shows color differences before and after the adjustment by using color as a representative feature at the low level, and validates the proposed evaluation method by comparing the differences in recognizing two images.","PeriodicalId":140598,"journal":{"name":"2017 17th International Conference on Control, Automation and Systems (ICCAS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129110328","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 : 2017-10-01DOI: 10.23919/ICCAS.2017.8204416
A. Dehghani, H. Khodadadi
The most important part of the heating, ventilation, and air conditioning technology is heating System. This part is used in smart buildings and provides the desired air quality and thermal comfort. The time delay and uncertainty in model parameters due to the several operation mode cause the main challenges in heating system control by the traditional PID approaches. To overcome these problems, this paper presents an intelligent PID algorithm combines the fuzzy logic and neural network method together and used it in Smith predictor structure. Hence, a fuzzy neural network PID controller based on Smith predictor is proposed in this paper for the heating system. By correction of the dynamic learning of neural network and fuzzy inference, PID parameters of the controller get their optimal values. Simulation results of the heating system illustrate that the performance of the fuzzy neural network PID controller based on Smith predictor in comparison to the other control structures has been greatly improved, with fast response, smallest overshoot and lowest rise and settling time.
{"title":"Designing a neuro-fuzzy PID controller based on smith predictor for heating system","authors":"A. Dehghani, H. Khodadadi","doi":"10.23919/ICCAS.2017.8204416","DOIUrl":"https://doi.org/10.23919/ICCAS.2017.8204416","url":null,"abstract":"The most important part of the heating, ventilation, and air conditioning technology is heating System. This part is used in smart buildings and provides the desired air quality and thermal comfort. The time delay and uncertainty in model parameters due to the several operation mode cause the main challenges in heating system control by the traditional PID approaches. To overcome these problems, this paper presents an intelligent PID algorithm combines the fuzzy logic and neural network method together and used it in Smith predictor structure. Hence, a fuzzy neural network PID controller based on Smith predictor is proposed in this paper for the heating system. By correction of the dynamic learning of neural network and fuzzy inference, PID parameters of the controller get their optimal values. Simulation results of the heating system illustrate that the performance of the fuzzy neural network PID controller based on Smith predictor in comparison to the other control structures has been greatly improved, with fast response, smallest overshoot and lowest rise and settling time.","PeriodicalId":140598,"journal":{"name":"2017 17th International Conference on Control, Automation and Systems (ICCAS)","volume":"533 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134127923","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 : 2017-10-01DOI: 10.23919/ICCAS.2017.8204277
Sunghwa Lee, Jiwon Seo
In this paper, we introduce a method for sensing intentional eyelid movement using an impulse radio ultra-wideband (IR-UWB) radar. Since it is the first step of the study, we assume that eyes are in the near-field and all the motions, except eyelid movement, are fixed. The measurement of eyelid movement can be utilized in a human computer interface or for the recognition of a driver's drowsiness. If the eyelids move up or down, the amplitude and frequency of radar signals change. We can observe these changes in a three-dimensional graph of raw radar data. Intentional eyelid movements produce some peaks or nulls on the graph. We used two methods to analyze the patterns of eyelid movement. Both methods involve fast Fourier transform (FFT) and exploit a pulse Doppler processing technique of radar signals. Thus, we can calculate the frequency of intentional eyelid movement using these methods. The calculated frequency corresponds to the number of peaks in the raw radar graph.
{"title":"IR-UWB radar based near-field intentional eyelid movement sensing under fixed head and body motions","authors":"Sunghwa Lee, Jiwon Seo","doi":"10.23919/ICCAS.2017.8204277","DOIUrl":"https://doi.org/10.23919/ICCAS.2017.8204277","url":null,"abstract":"In this paper, we introduce a method for sensing intentional eyelid movement using an impulse radio ultra-wideband (IR-UWB) radar. Since it is the first step of the study, we assume that eyes are in the near-field and all the motions, except eyelid movement, are fixed. The measurement of eyelid movement can be utilized in a human computer interface or for the recognition of a driver's drowsiness. If the eyelids move up or down, the amplitude and frequency of radar signals change. We can observe these changes in a three-dimensional graph of raw radar data. Intentional eyelid movements produce some peaks or nulls on the graph. We used two methods to analyze the patterns of eyelid movement. Both methods involve fast Fourier transform (FFT) and exploit a pulse Doppler processing technique of radar signals. Thus, we can calculate the frequency of intentional eyelid movement using these methods. The calculated frequency corresponds to the number of peaks in the raw radar graph.","PeriodicalId":140598,"journal":{"name":"2017 17th International Conference on Control, Automation and Systems (ICCAS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133041391","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 : 2017-10-01DOI: 10.23919/ICCAS.2017.8204370
Daniel Hong, Geon-Su Heo, Cheolwoo Myung, W. Ra
In global localization problem, the robot should localize itself without the knowledge of its initial pose, i.e., its initial position and attitude. Under GPS-denied environment, non-unique landmarks such as traffic signs can be used as alternative absolute position information. However, such landmarks lead to ambiguous correspondence between landmarks and their features. For a robot to successfully localize itself, this ambiguity should be tackled. To solve the problem, a multiple hypothesis testing method is adopted. As robot detects other landmarks, the number of the hypotheses can be increased exponentially. The nearest neighbor filter technique is applied to prevent the number increase. The capability of the suggested algorithm is examined based on a computer simulation.
{"title":"Data association approach to mobile robot localization using non-unique landmarks","authors":"Daniel Hong, Geon-Su Heo, Cheolwoo Myung, W. Ra","doi":"10.23919/ICCAS.2017.8204370","DOIUrl":"https://doi.org/10.23919/ICCAS.2017.8204370","url":null,"abstract":"In global localization problem, the robot should localize itself without the knowledge of its initial pose, i.e., its initial position and attitude. Under GPS-denied environment, non-unique landmarks such as traffic signs can be used as alternative absolute position information. However, such landmarks lead to ambiguous correspondence between landmarks and their features. For a robot to successfully localize itself, this ambiguity should be tackled. To solve the problem, a multiple hypothesis testing method is adopted. As robot detects other landmarks, the number of the hypotheses can be increased exponentially. The nearest neighbor filter technique is applied to prevent the number increase. The capability of the suggested algorithm is examined based on a computer simulation.","PeriodicalId":140598,"journal":{"name":"2017 17th International Conference on Control, Automation and Systems (ICCAS)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121091137","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 : 2017-10-01DOI: 10.23919/ICCAS.2017.8204229
T. Sakaki, K. Tsuruta, Yong-Kwun Lee, N. Ushimi, K. Murakami, Yoshimi Matsunoo, Y. Ichinose, Tshihiko Shimokawa, Y. Kamiya, Osamu Kikima, K. Aoki, Shinya Morishita, Takehiro Tashiro, H. Nishizono
The Human Robotics Research Center at Kyushu Sangyo University was established in 2013 as a practical center for the study of robots designed for rehabilitation and care-support. The HRRC seeks to implement robots intended for the medical and care fields to address problems in those fields. We have focused on the development of rehabilitation robots for spinal cord injury patients. Here, we present three different robots we have developed for standing-motion training, primary-walking-pattern training, and practical-walking training.
{"title":"Concept, results and future topics for the Human Robotics Research Center at Kyushu Sangyo University","authors":"T. Sakaki, K. Tsuruta, Yong-Kwun Lee, N. Ushimi, K. Murakami, Yoshimi Matsunoo, Y. Ichinose, Tshihiko Shimokawa, Y. Kamiya, Osamu Kikima, K. Aoki, Shinya Morishita, Takehiro Tashiro, H. Nishizono","doi":"10.23919/ICCAS.2017.8204229","DOIUrl":"https://doi.org/10.23919/ICCAS.2017.8204229","url":null,"abstract":"The Human Robotics Research Center at Kyushu Sangyo University was established in 2013 as a practical center for the study of robots designed for rehabilitation and care-support. The HRRC seeks to implement robots intended for the medical and care fields to address problems in those fields. We have focused on the development of rehabilitation robots for spinal cord injury patients. Here, we present three different robots we have developed for standing-motion training, primary-walking-pattern training, and practical-walking training.","PeriodicalId":140598,"journal":{"name":"2017 17th International Conference on Control, Automation and Systems (ICCAS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116759746","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 : 2017-10-01DOI: 10.23919/ICCAS.2017.8204477
Valentin Schmidt, Wrer Kraus, C. Martin, XueJun Jin, A. Pott
This paper presents the findings of experiments done to increase the accuracy of a fully constrained cable-driven parallel robot with 8 cables and 6 degrees of freedom. Measurements were conducted using a Laser Tracker in 3 dof and the position accuracy mapped. Measurements were performed in a grid with 1920 points. From the measurement data distortion to the actual desired position is measured and using a linear approximation subsequent trajectories are compensated for any systematic errors. On an example robot, this black box correction brought an average improvement from 10.6 mm distance to the desired point to 2.47 mm distance from the desired point. This is a significant improvement m accuracy.
{"title":"Black-box accuracy compensation for a cable-driven parallel robot","authors":"Valentin Schmidt, Wrer Kraus, C. Martin, XueJun Jin, A. Pott","doi":"10.23919/ICCAS.2017.8204477","DOIUrl":"https://doi.org/10.23919/ICCAS.2017.8204477","url":null,"abstract":"This paper presents the findings of experiments done to increase the accuracy of a fully constrained cable-driven parallel robot with 8 cables and 6 degrees of freedom. Measurements were conducted using a Laser Tracker in 3 dof and the position accuracy mapped. Measurements were performed in a grid with 1920 points. From the measurement data distortion to the actual desired position is measured and using a linear approximation subsequent trajectories are compensated for any systematic errors. On an example robot, this black box correction brought an average improvement from 10.6 mm distance to the desired point to 2.47 mm distance from the desired point. This is a significant improvement m accuracy.","PeriodicalId":140598,"journal":{"name":"2017 17th International Conference on Control, Automation and Systems (ICCAS)","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121611925","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 : 2017-10-01DOI: 10.23919/ICCAS.2017.8204352
Ho-Yeon Kim, JongHyeok Park, Sooyong Yun, S. Moon, K. Gwak
CC (Compression Criteria), CTI (combined Thoracic Index), and VC (Viscous Criteria) which measure the AIS (Abbreviated Injury Scale) for chest injuries are examined using the human-robot unconstrained collision experimental data. Experimental data were collected from the facility consists of a dummy of ten year old child, a collision cart, a speed measuring sensor, and a heat insulating foam floor. The unconstrained-collision test was carried out with a collision mass of 80 kg and collision speed 1 m/s and AIS was calculated from the test data.
{"title":"Preliminary experimental results for chest compression in mobile robot-human unconstrained-collision","authors":"Ho-Yeon Kim, JongHyeok Park, Sooyong Yun, S. Moon, K. Gwak","doi":"10.23919/ICCAS.2017.8204352","DOIUrl":"https://doi.org/10.23919/ICCAS.2017.8204352","url":null,"abstract":"CC (Compression Criteria), CTI (combined Thoracic Index), and VC (Viscous Criteria) which measure the AIS (Abbreviated Injury Scale) for chest injuries are examined using the human-robot unconstrained collision experimental data. Experimental data were collected from the facility consists of a dummy of ten year old child, a collision cart, a speed measuring sensor, and a heat insulating foam floor. The unconstrained-collision test was carried out with a collision mass of 80 kg and collision speed 1 m/s and AIS was calculated from the test data.","PeriodicalId":140598,"journal":{"name":"2017 17th International Conference on Control, Automation and Systems (ICCAS)","volume":"1576 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120878555","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 : 2017-10-01DOI: 10.23919/ICCAS.2017.8204368
Yong-Ho Na, Hyun-Jun Jo, Jae-Bok Song
In this study, deep learning based grasping using a robot has been discussed. A large amount of training data is required for good performance in deep learning. The training data is usually collected with a real robot. However, it is difficult to collect the data sufficient for training the network in terms of time and cost. Therefore, this study presents a method for collecting the training data based on a robot simulator as well as a real robot. The simulation system is composed of a robot, the work environment, and a 2-finger gripper. The convolutional neural network (CNN) was used for training where its input is the RGB image of the object and its output is the pose of the gripper. Furthermore, the ensemble learning method was used to combine real data and simulation data. It is shown that the ensemble learning method that combines multiple classifiers can lead to a higher grasping success rate than a single classifier.
{"title":"Learning to grasp objects based on ensemble learning combining simulation data and real data","authors":"Yong-Ho Na, Hyun-Jun Jo, Jae-Bok Song","doi":"10.23919/ICCAS.2017.8204368","DOIUrl":"https://doi.org/10.23919/ICCAS.2017.8204368","url":null,"abstract":"In this study, deep learning based grasping using a robot has been discussed. A large amount of training data is required for good performance in deep learning. The training data is usually collected with a real robot. However, it is difficult to collect the data sufficient for training the network in terms of time and cost. Therefore, this study presents a method for collecting the training data based on a robot simulator as well as a real robot. The simulation system is composed of a robot, the work environment, and a 2-finger gripper. The convolutional neural network (CNN) was used for training where its input is the RGB image of the object and its output is the pose of the gripper. Furthermore, the ensemble learning method was used to combine real data and simulation data. It is shown that the ensemble learning method that combines multiple classifiers can lead to a higher grasping success rate than a single classifier.","PeriodicalId":140598,"journal":{"name":"2017 17th International Conference on Control, Automation and Systems (ICCAS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130549860","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 : 2017-10-01DOI: 10.23919/ICCAS.2017.8204317
Nguyen Truong Thinh, T. Tho, Nguyen Thanh Tan
This paper describes a customized self-feeding system designed to increase the independence of a elder person or Parkinson patient who is unable to use his/her arm for self-feeding. Besides, the procedures of design and development of the system are also carried out, and other its tasks control manipulator to feed the food to patients based on nutrients management for patients. This system can help patients self-control his meal replacement for the care of a family member or care worker thereby saving a lot of time and effort of caregivers, and, nutritional management software of each meal will allow caregivers understand nutritional information of the patients in the diet which can not change to improve the quality of meals for patients. The self-feeding system is experienced and evaluated with several cases in nursing home to give suitable design. The experimental results show that this self-feeding system provides a viable alternative to assisting independence in self-feeding as measured by ingesting time and nutrition intake. The self-feeding system is operated autonomous by itself and sent food's data and relative information to monitoring computer based on Internet. Besides, the tool of management can analyze the data according to the nutritional standards, and controller control movements of manipulator and automation tray based on health situation and needs of patients.
{"title":"Designing self-feeding system for increasing independence of elders and Parkinson people","authors":"Nguyen Truong Thinh, T. Tho, Nguyen Thanh Tan","doi":"10.23919/ICCAS.2017.8204317","DOIUrl":"https://doi.org/10.23919/ICCAS.2017.8204317","url":null,"abstract":"This paper describes a customized self-feeding system designed to increase the independence of a elder person or Parkinson patient who is unable to use his/her arm for self-feeding. Besides, the procedures of design and development of the system are also carried out, and other its tasks control manipulator to feed the food to patients based on nutrients management for patients. This system can help patients self-control his meal replacement for the care of a family member or care worker thereby saving a lot of time and effort of caregivers, and, nutritional management software of each meal will allow caregivers understand nutritional information of the patients in the diet which can not change to improve the quality of meals for patients. The self-feeding system is experienced and evaluated with several cases in nursing home to give suitable design. The experimental results show that this self-feeding system provides a viable alternative to assisting independence in self-feeding as measured by ingesting time and nutrition intake. The self-feeding system is operated autonomous by itself and sent food's data and relative information to monitoring computer based on Internet. Besides, the tool of management can analyze the data according to the nutritional standards, and controller control movements of manipulator and automation tray based on health situation and needs of patients.","PeriodicalId":140598,"journal":{"name":"2017 17th International Conference on Control, Automation and Systems (ICCAS)","volume":"696 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130617314","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 : 2017-10-01DOI: 10.23919/ICCAS.2017.8204245
Zhenlong Wu, Wangying Shi, Donghai Li, T. He, Yali Xue, Minfang Han, Song Zheng
The output voltage control of the Solid Oxide Fuel Cell (SOFC) is challenging due to the strong nonlinearity, modelling uncertainty, the dramatic change of the external current load and constraints on the amplitudes and change rates of the actuator. Besides, the desired range of the fuel utilization is another difficult for the control strategy. In this paper, Active disturbance rejection control (ADRC) is proposed to handle the nonlinearity, uncertainty and the external disturbance, and physical feedforward is designed to speed up the response of the whole system and keep the fuel utilization in the desired range. Instead of the SOFC model, the design of physical feedforward is based on the definition of fuel utilization which is featured by simplicity, generality and effectiveness. Simulation results show that the proposed control strategy has smaller variation range of the fuel utilization, shorter time of the changing process of the output voltage and better robustness than others control strategies.
{"title":"The disturbance rejection design based on physical feedforward for solid oxide fuel cell","authors":"Zhenlong Wu, Wangying Shi, Donghai Li, T. He, Yali Xue, Minfang Han, Song Zheng","doi":"10.23919/ICCAS.2017.8204245","DOIUrl":"https://doi.org/10.23919/ICCAS.2017.8204245","url":null,"abstract":"The output voltage control of the Solid Oxide Fuel Cell (SOFC) is challenging due to the strong nonlinearity, modelling uncertainty, the dramatic change of the external current load and constraints on the amplitudes and change rates of the actuator. Besides, the desired range of the fuel utilization is another difficult for the control strategy. In this paper, Active disturbance rejection control (ADRC) is proposed to handle the nonlinearity, uncertainty and the external disturbance, and physical feedforward is designed to speed up the response of the whole system and keep the fuel utilization in the desired range. Instead of the SOFC model, the design of physical feedforward is based on the definition of fuel utilization which is featured by simplicity, generality and effectiveness. Simulation results show that the proposed control strategy has smaller variation range of the fuel utilization, shorter time of the changing process of the output voltage and better robustness than others control strategies.","PeriodicalId":140598,"journal":{"name":"2017 17th International Conference on Control, Automation and Systems (ICCAS)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129982862","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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