Pub Date : 2019-06-03DOI: 10.1109/CCDC.2019.8833301
Jidong Jin
The influence of members in social networks and the influence of members in group decision-making belong to the same type of mathematical problem, that is, the influence of nodes in the network. This paper combines Friedkin social network influence model and DeGroot group decision model under a unified theoretical framework. The unified model allows us to see the relationship between the two models and create conditions for further in-depth application.
{"title":"A Fusion Model of Social Influence and Group Decision","authors":"Jidong Jin","doi":"10.1109/CCDC.2019.8833301","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8833301","url":null,"abstract":"The influence of members in social networks and the influence of members in group decision-making belong to the same type of mathematical problem, that is, the influence of nodes in the network. This paper combines Friedkin social network influence model and DeGroot group decision model under a unified theoretical framework. The unified model allows us to see the relationship between the two models and create conditions for further in-depth application.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128962448","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 : 2019-06-03DOI: 10.1109/CCDC.2019.8833237
Hao Yang, Lu Sheng-ge, Qing Feng-Sun
QSG (quadrature signal generator) is the critical part of single-phase PLL. In order to effectively reduce the influence of DC components and harmonics on orthogonal signals, a QSG based on multivariable filter (MVF) is proposed, and it’s proved to have good frequency adaptability. In this paper, the author first analyzes the transfer function of MVF, theoretically analyzes the mechanism of its attenuation of DC and harmonics, analyzes the influence of parameter Kf on MVF-QSG, uses MATLAB to simulate the working performance of MVF-QSG on DC components and harmonics under steady state and dynamic conditions and the working performance under the conditions of abrupt voltage frequency variation, and finally establishes a 3kW grid-connected inverter platform, verifies MVF-PLL's phase-locking effect under the conditions of power grid amplitude step and distortion by experiments, and proves the feasibility of the method.
{"title":"Design of Single-Phase Digital Phase Locked Loop Based on MVF-QSG","authors":"Hao Yang, Lu Sheng-ge, Qing Feng-Sun","doi":"10.1109/CCDC.2019.8833237","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8833237","url":null,"abstract":"QSG (quadrature signal generator) is the critical part of single-phase PLL. In order to effectively reduce the influence of DC components and harmonics on orthogonal signals, a QSG based on multivariable filter (MVF) is proposed, and it’s proved to have good frequency adaptability. In this paper, the author first analyzes the transfer function of MVF, theoretically analyzes the mechanism of its attenuation of DC and harmonics, analyzes the influence of parameter Kf on MVF-QSG, uses MATLAB to simulate the working performance of MVF-QSG on DC components and harmonics under steady state and dynamic conditions and the working performance under the conditions of abrupt voltage frequency variation, and finally establishes a 3kW grid-connected inverter platform, verifies MVF-PLL's phase-locking effect under the conditions of power grid amplitude step and distortion by experiments, and proves the feasibility of the method.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"62 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131777030","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 : 2019-06-03DOI: 10.1109/CCDC.2019.8833160
Li Lianqiao, Chen Xiai, Zhou Huili, Wang Ling
This paper researches the infrared thermal image recognition and appliacation of power facilities based on YOLO neural network. The preliminary work includes the construction of the power facilities data set, and the preprocessing of the photo noise reduction. After sending the infrared thermal image to the YOLO neural network, the system uses the Bounding Box to crop out all possible electrical equipment and names the device. Then a nonlinear least squares curve is used to measure the highest temperature of the device. Testing on different devices such as Combine Filter, Porcelain Sleeve and Isolation Switch shows that the system can accurately and stably identify power facilities. The least squares curve can accurately locate the highest temperature of the device. The system can effectively reduce labor costs and achieve high recognition accuracy.
{"title":"Recognition and Application of Infrared Thermal Image Among Power Facilities Based on YOLO","authors":"Li Lianqiao, Chen Xiai, Zhou Huili, Wang Ling","doi":"10.1109/CCDC.2019.8833160","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8833160","url":null,"abstract":"This paper researches the infrared thermal image recognition and appliacation of power facilities based on YOLO neural network. The preliminary work includes the construction of the power facilities data set, and the preprocessing of the photo noise reduction. After sending the infrared thermal image to the YOLO neural network, the system uses the Bounding Box to crop out all possible electrical equipment and names the device. Then a nonlinear least squares curve is used to measure the highest temperature of the device. Testing on different devices such as Combine Filter, Porcelain Sleeve and Isolation Switch shows that the system can accurately and stably identify power facilities. The least squares curve can accurately locate the highest temperature of the device. The system can effectively reduce labor costs and achieve high recognition accuracy.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124486876","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 : 2019-06-03DOI: 10.1109/CCDC.2019.8832760
Jianlong Zou, Zhi-jun Li, Jun Guo, Zhi-qiang Cao
In this paper, a photovoltaic generation and braking energy recovery system was proposed, aiming at the short cruising range and low energy utilization rate of electric vehicles. Through the analysis of the principle of photovoltaic generation and braking energy recovery system, the photovoltaic generation circuit, braking energy recovery circuit, detection and control unit are designed. Finally, the operating environment and condition of the electric vehicles are analyzed, and the system control strategy is described, which is of great significance to improve the endurance of electric vehicles.
{"title":"Research of Photovoltaic Generation and Braking Energy Recovery System for Electric Vehicles","authors":"Jianlong Zou, Zhi-jun Li, Jun Guo, Zhi-qiang Cao","doi":"10.1109/CCDC.2019.8832760","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8832760","url":null,"abstract":"In this paper, a photovoltaic generation and braking energy recovery system was proposed, aiming at the short cruising range and low energy utilization rate of electric vehicles. Through the analysis of the principle of photovoltaic generation and braking energy recovery system, the photovoltaic generation circuit, braking energy recovery circuit, detection and control unit are designed. Finally, the operating environment and condition of the electric vehicles are analyzed, and the system control strategy is described, which is of great significance to improve the endurance of electric vehicles.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122569010","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 : 2019-06-03DOI: 10.1109/CCDC.2019.8832667
Jun Du, Mengjun Li
Focusing on the decision-making confusion of aerospace components manufacturers in market entry order and product development strategy, a market entry game theory model based on the conversion cost and learning curve effects, as well as a product differentiation with downward compatibility game theory model is established. Game analysis shows there is a significant first-mover advantage in the aerospace components market, while adopting a downward compatible strategy may provide a second-mover advantage. The study has two implications. First, companies must strive to be the first mover into the market; second, the incomers should adopt a downward compatible product differentiation strategy.
{"title":"Research on Market Entry Order and Product Development Strategy of Aerospace Components Based on Game Analysis","authors":"Jun Du, Mengjun Li","doi":"10.1109/CCDC.2019.8832667","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8832667","url":null,"abstract":"Focusing on the decision-making confusion of aerospace components manufacturers in market entry order and product development strategy, a market entry game theory model based on the conversion cost and learning curve effects, as well as a product differentiation with downward compatibility game theory model is established. Game analysis shows there is a significant first-mover advantage in the aerospace components market, while adopting a downward compatible strategy may provide a second-mover advantage. The study has two implications. First, companies must strive to be the first mover into the market; second, the incomers should adopt a downward compatible product differentiation strategy.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116081280","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 : 2019-06-03DOI: 10.1109/CCDC.2019.8833248
Jiayu Zhao, Gangfeng Yan
Passenger flow monitoring plays an important role in elevator intelligent monitoring and elevator operation status analysis. This study gives one of definitions for elevator passenger flow, and proposes a counting method of the passenger flow in elevator based on the fusion of computer vision techniques. This experiment calculates the passenger flow in real-time detection by dividing the task into three parts, which is detecting the door status using the background subtraction method, detecting the current floor with Support Vector Machine (SVM) algorithm and counting passengers by YOLOv3 (You Only Look Once) model. The results show that the proposed method can accurately measure passenger flow even when passengers are heavily obscured.
客流监控在电梯智能监控和电梯运行状态分析中具有重要作用。本文给出了电梯客流的一种定义，提出了一种基于计算机视觉融合技术的电梯客流计数方法。本实验通过将任务分为三部分来计算实时检测中的客流，即使用背景减法检测门的状态，使用支持向量机(SVM)算法检测当前楼层，使用YOLOv3 (You Only Look Once)模型统计乘客。结果表明，该方法可以在严重遮挡的情况下准确测量客流。
{"title":"Passenger Flow Monitoring of Elevator Video Based on Computer Vision","authors":"Jiayu Zhao, Gangfeng Yan","doi":"10.1109/CCDC.2019.8833248","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8833248","url":null,"abstract":"Passenger flow monitoring plays an important role in elevator intelligent monitoring and elevator operation status analysis. This study gives one of definitions for elevator passenger flow, and proposes a counting method of the passenger flow in elevator based on the fusion of computer vision techniques. This experiment calculates the passenger flow in real-time detection by dividing the task into three parts, which is detecting the door status using the background subtraction method, detecting the current floor with Support Vector Machine (SVM) algorithm and counting passengers by YOLOv3 (You Only Look Once) model. The results show that the proposed method can accurately measure passenger flow even when passengers are heavily obscured.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122341830","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 : 2019-06-03DOI: 10.1109/CCDC.2019.8832678
Yang Zhikai, Bu Leping, Wang Teng, Zheng Tianrui, Wu Fen
In order to solve the problem that it is difficult to obtain fire image data in CNN training, this paper discusses the method of generating fire image by means of generative adversarial networks. How to generate the desired fire image according to the known observation variables is discussed. According to the structure of InfoGAN and ACGAN, a GAN structure for generating fire image is proposed. Fire area is selected as a known observation variable to generate the corresponding fire image. Experiments show that the network structure can generate the required images according to the values of a observed variables. And the quality of the generated image is related to the distribution of observed variables in the data set.
{"title":"Fire Image Generation Based on ACGAN","authors":"Yang Zhikai, Bu Leping, Wang Teng, Zheng Tianrui, Wu Fen","doi":"10.1109/CCDC.2019.8832678","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8832678","url":null,"abstract":"In order to solve the problem that it is difficult to obtain fire image data in CNN training, this paper discusses the method of generating fire image by means of generative adversarial networks. How to generate the desired fire image according to the known observation variables is discussed. According to the structure of InfoGAN and ACGAN, a GAN structure for generating fire image is proposed. Fire area is selected as a known observation variable to generate the corresponding fire image. Experiments show that the network structure can generate the required images according to the values of a observed variables. And the quality of the generated image is related to the distribution of observed variables in the data set.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128577070","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 : 2019-06-03DOI: 10.1109/CCDC.2019.8833329
Yu Wang, Yan Xu, Zhao Xu, Junhua Zhao, J. Qiu, K. Meng, Yu Zheng
In this paper, thermostatically controlled loads (TCLs) to the provision of fast ancillary services are investigated. In a residential community, a population of TCLs in smart buildings is able to respond to fast regulation signals in a distributed way via sparse communication infrastructure. A two-layer distributed consensus protocol (TLDCP) is proposed with the optimal control gain design based on the linear quadratic regulator method. In the proposed TLDCP, the communication graph is divided into two-layer considering both the local interaction of TCLs in each building and interconnection among buildings. This method will achieve fast, dynamic and distributed power regulation with fair power and comfort sharing among all participate TCLs. With different supervisory control (e.g. fluctuation mitigation and frequency regulation), the TLDCP controlled TCLs can provide various grid ancillary services. The case studies validate the effectiveness of the proposed method.
{"title":"Distributed Consensus Control of Thermostatically Controlled Loads for Fast Ancillary Services","authors":"Yu Wang, Yan Xu, Zhao Xu, Junhua Zhao, J. Qiu, K. Meng, Yu Zheng","doi":"10.1109/CCDC.2019.8833329","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8833329","url":null,"abstract":"In this paper, thermostatically controlled loads (TCLs) to the provision of fast ancillary services are investigated. In a residential community, a population of TCLs in smart buildings is able to respond to fast regulation signals in a distributed way via sparse communication infrastructure. A two-layer distributed consensus protocol (TLDCP) is proposed with the optimal control gain design based on the linear quadratic regulator method. In the proposed TLDCP, the communication graph is divided into two-layer considering both the local interaction of TCLs in each building and interconnection among buildings. This method will achieve fast, dynamic and distributed power regulation with fair power and comfort sharing among all participate TCLs. With different supervisory control (e.g. fluctuation mitigation and frequency regulation), the TLDCP controlled TCLs can provide various grid ancillary services. The case studies validate the effectiveness of the proposed method.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131706722","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 : 2019-06-03DOI: 10.1109/CCDC.2019.8832608
Haitao Liu, Jian Sun, Jianhao Nie, Guan‐Wei Chen, Lanping Zou
In this paper, an adaptive non-singular terminal sliding mode controller is proposed for robotic manipulators in the presence of uncertainties and disturbances. The adaptive control is used to obtain robustness to system uncertainties and disturbances. In addition, the high-gain observer is employed to estimate the speed information, which make the controller more applicable in practice. Theorem proof and simulations demonstrate the effectiveness of the proposed controller.
{"title":"Adaptive non-singular terminal sliding mode control with high-gain observers for robotic manipulators","authors":"Haitao Liu, Jian Sun, Jianhao Nie, Guan‐Wei Chen, Lanping Zou","doi":"10.1109/CCDC.2019.8832608","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8832608","url":null,"abstract":"In this paper, an adaptive non-singular terminal sliding mode controller is proposed for robotic manipulators in the presence of uncertainties and disturbances. The adaptive control is used to obtain robustness to system uncertainties and disturbances. In addition, the high-gain observer is employed to estimate the speed information, which make the controller more applicable in practice. Theorem proof and simulations demonstrate the effectiveness of the proposed controller.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133016122","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}
Collaborative target tracking is a typical application of wireless sensor networks (WSNs), in which sensors shall be scheduled for trading off between the tracking performance and the energy utilization. Energy harvesting in wireless sensor networks is attractive for the continuous operation of the network, but poses new challenges for collaborative target tracking due to the limited energy harvesting capabilities of the nodes. In this paper, we will propose a novel finite-horizon adaptive dynamic programming (FHADP) based sensor scheduling for collaborative target tracking in an energy harvesting WSN. Unscented Kalman filter (UKF) is used for prediction and estimation of the tracking performance, and multiple-step sensor scheduling is performed using ADP based on the predictive harvested energy of the nodes and tracking performance. Simulation results show that FHADP based sensor scheduling scheme can obtain superior tracking performance compared with ADP.
{"title":"Finite-Horizon Adaptive Dynamic Programming for Collaborative Target Tracking in Energy Harvesting Wireless Sensor Networks","authors":"Chengpeng Jiang, Fen Liu, Shuai Chen, Wendong Xiao","doi":"10.1109/CCDC.2019.8832815","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8832815","url":null,"abstract":"Collaborative target tracking is a typical application of wireless sensor networks (WSNs), in which sensors shall be scheduled for trading off between the tracking performance and the energy utilization. Energy harvesting in wireless sensor networks is attractive for the continuous operation of the network, but poses new challenges for collaborative target tracking due to the limited energy harvesting capabilities of the nodes. In this paper, we will propose a novel finite-horizon adaptive dynamic programming (FHADP) based sensor scheduling for collaborative target tracking in an energy harvesting WSN. Unscented Kalman filter (UKF) is used for prediction and estimation of the tracking performance, and multiple-step sensor scheduling is performed using ADP based on the predictive harvested energy of the nodes and tracking performance. Simulation results show that FHADP based sensor scheduling scheme can obtain superior tracking performance compared with ADP.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115379015","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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