Pub Date : 2020-07-01DOI: 10.23919/CCC50068.2020.9189636
Xingwei Zhou, Wenshan Hu, Guoping Liu
The paper introduces the implementation of NCSLab in mobile APP with framework of React-Native. Networked Control System Laboratory (NCSLab) is one of the remote laboratories, which has existed for more than 10 years since it was been created in 2006 in the UK. However, there has not a mobile App served for NCSLab turned up yet, which can make great convenience for students to experiment. With the promotion of React-Native, this paper finally applies this framework to realize the mobile App served for NCSLab. This mobile app can bring great convenience to users' experiments. Users no longer need to experiment on the computer, remove the space constraints. Experiments can be conducted anytime and anywhere, which increases the frequency of experimenting.
{"title":"React-Native Based Mobile App for Online Experimentation","authors":"Xingwei Zhou, Wenshan Hu, Guoping Liu","doi":"10.23919/CCC50068.2020.9189636","DOIUrl":"https://doi.org/10.23919/CCC50068.2020.9189636","url":null,"abstract":"The paper introduces the implementation of NCSLab in mobile APP with framework of React-Native. Networked Control System Laboratory (NCSLab) is one of the remote laboratories, which has existed for more than 10 years since it was been created in 2006 in the UK. However, there has not a mobile App served for NCSLab turned up yet, which can make great convenience for students to experiment. With the promotion of React-Native, this paper finally applies this framework to realize the mobile App served for NCSLab. This mobile app can bring great convenience to users' experiments. Users no longer need to experiment on the computer, remove the space constraints. Experiments can be conducted anytime and anywhere, which increases the frequency of experimenting.","PeriodicalId":255872,"journal":{"name":"2020 39th Chinese Control Conference (CCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128318906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.23919/CCC50068.2020.9188366
Honghui Chen, Zhuang Xiao, Zining Zhao, P. Sun, Qingyuan Wang
Automatic speed control is a promising way to improve the quality of urban traffic operation. This paper proposes a fuzzy logic controller to track speed and time trajectories simultaneously for trams. Four modules are designed to improve the effectiveness of the controller. Specifically, the fuzzy inference module is to generate the recommended acceleration. Moreover, the train speed protection module and the train traction characteristic module are presents to ensure that the control laws can satisfy with the operation constraints. To verify the performance of the fuzzy logic controller, the speed and time tracking errors are compared with the PID controller based on the predefined speed profiles. Simulation results show that the proposed controller achieve the trade-off between speed and time tracking within the allowable range. This controller can be implemented by the automatic train operation systems.
{"title":"Longitudinal Speed Control Based on Fuzzy Logic Controller for Trams","authors":"Honghui Chen, Zhuang Xiao, Zining Zhao, P. Sun, Qingyuan Wang","doi":"10.23919/CCC50068.2020.9188366","DOIUrl":"https://doi.org/10.23919/CCC50068.2020.9188366","url":null,"abstract":"Automatic speed control is a promising way to improve the quality of urban traffic operation. This paper proposes a fuzzy logic controller to track speed and time trajectories simultaneously for trams. Four modules are designed to improve the effectiveness of the controller. Specifically, the fuzzy inference module is to generate the recommended acceleration. Moreover, the train speed protection module and the train traction characteristic module are presents to ensure that the control laws can satisfy with the operation constraints. To verify the performance of the fuzzy logic controller, the speed and time tracking errors are compared with the PID controller based on the predefined speed profiles. Simulation results show that the proposed controller achieve the trade-off between speed and time tracking within the allowable range. This controller can be implemented by the automatic train operation systems.","PeriodicalId":255872,"journal":{"name":"2020 39th Chinese Control Conference (CCC)","volume":"47 21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128438708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.23919/CCC50068.2020.9188997
Wei Wang, Chunyan Han
This paper is concerned with the optimal filter for discrete-time linear jump system with delayed measurement and packet losses. The Markov chain is assumed to be directly accessible. The delayed measurement system is transformed into an equivalent delay-free one by employing the reorganized observation technique. Then the filtering problem is translated to one of the delay-free system with jumping parameters and diagonal matrix multiplicative noise. An optimal linear Markov jump filter is derived by using the mean squared method, where the filter gains are developed by solving a set of filtering coupled difference Riccati equations (CDREs) based on a set of coupled Lyapunov equations. Stability and steady-state property of the proposed filter is analyzed. The CDREs converge to the stationary ones under appropriate conditions. Finally, a numerical example illustrates the effectiveness of the proposed algorithm.
{"title":"Optimal filter for discrete-time Markov jump systems with measurement-delays and packet dropouts","authors":"Wei Wang, Chunyan Han","doi":"10.23919/CCC50068.2020.9188997","DOIUrl":"https://doi.org/10.23919/CCC50068.2020.9188997","url":null,"abstract":"This paper is concerned with the optimal filter for discrete-time linear jump system with delayed measurement and packet losses. The Markov chain is assumed to be directly accessible. The delayed measurement system is transformed into an equivalent delay-free one by employing the reorganized observation technique. Then the filtering problem is translated to one of the delay-free system with jumping parameters and diagonal matrix multiplicative noise. An optimal linear Markov jump filter is derived by using the mean squared method, where the filter gains are developed by solving a set of filtering coupled difference Riccati equations (CDREs) based on a set of coupled Lyapunov equations. Stability and steady-state property of the proposed filter is analyzed. The CDREs converge to the stationary ones under appropriate conditions. Finally, a numerical example illustrates the effectiveness of the proposed algorithm.","PeriodicalId":255872,"journal":{"name":"2020 39th Chinese Control Conference (CCC)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128450451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.23919/CCC50068.2020.9189572
Zhang Qiuqiao, Bing Wang, Lingyan Wei, Wang Haishan
Aiming at the defects of chicken swarm optimization algorithm, such as easy to fall into local optimal, premature convergence and slow convergence, a chicken swarm optimization algorithm based on quantum behavior is proposed in this paper. A quantized potential well model is established based on the individual information of chicken swarm. According to the existing individual extremum and global extremum obtained by the original updating formula, Monte Carlo random sampling is adopted to complete the updating of individual extremum, and the search is conducted at a parallel Angle near individual extremum and global extremum, which improves the local search performance of the algorithm. At the same time, the convergence of quantum-behavior chicken swarm optimization algorithm is discussed in this paper, and QCSO is proved to be a globally convergent optimization algorithm. The optimization capability of QCSO is tested by using basic test function, and the results show that the optimization performance of this algorithm is greatly improved compared with the original algorithm.
{"title":"Chicken swarm optimization algorithm based on quantum behavior and its convergence analysis","authors":"Zhang Qiuqiao, Bing Wang, Lingyan Wei, Wang Haishan","doi":"10.23919/CCC50068.2020.9189572","DOIUrl":"https://doi.org/10.23919/CCC50068.2020.9189572","url":null,"abstract":"Aiming at the defects of chicken swarm optimization algorithm, such as easy to fall into local optimal, premature convergence and slow convergence, a chicken swarm optimization algorithm based on quantum behavior is proposed in this paper. A quantized potential well model is established based on the individual information of chicken swarm. According to the existing individual extremum and global extremum obtained by the original updating formula, Monte Carlo random sampling is adopted to complete the updating of individual extremum, and the search is conducted at a parallel Angle near individual extremum and global extremum, which improves the local search performance of the algorithm. At the same time, the convergence of quantum-behavior chicken swarm optimization algorithm is discussed in this paper, and QCSO is proved to be a globally convergent optimization algorithm. The optimization capability of QCSO is tested by using basic test function, and the results show that the optimization performance of this algorithm is greatly improved compared with the original algorithm.","PeriodicalId":255872,"journal":{"name":"2020 39th Chinese Control Conference (CCC)","volume":"26 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128493191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.23919/CCC50068.2020.9188889
Tiandong Sun, Jun Wang, Chaochen Wang
In the face of multi-target attacks, it is very important to evaluate the threat degree of unknown targets reasonably and accurately and provide data support for subsequent command decision-making. In the traditional calculation of threat degree, the weight coefficient is obtained by expert scoring. This method has strong subjectivity and is far from suitable for urban anti-terrorism operations. Therefore, this paper proposes a TOPSIS threat degree ranking method based on the coefficient of variation, which combines the variation coefficient method with the TOPSIS method, and uses the non-dimensional variable variation coefficient to obtain the weight coefficient, reducing the influence of human factors, and obtains the threat through matrix operation. The results show that the method is objective, accurate and practical.
{"title":"TOPSIS threat assessment based on the coefficient of variation","authors":"Tiandong Sun, Jun Wang, Chaochen Wang","doi":"10.23919/CCC50068.2020.9188889","DOIUrl":"https://doi.org/10.23919/CCC50068.2020.9188889","url":null,"abstract":"In the face of multi-target attacks, it is very important to evaluate the threat degree of unknown targets reasonably and accurately and provide data support for subsequent command decision-making. In the traditional calculation of threat degree, the weight coefficient is obtained by expert scoring. This method has strong subjectivity and is far from suitable for urban anti-terrorism operations. Therefore, this paper proposes a TOPSIS threat degree ranking method based on the coefficient of variation, which combines the variation coefficient method with the TOPSIS method, and uses the non-dimensional variable variation coefficient to obtain the weight coefficient, reducing the influence of human factors, and obtains the threat through matrix operation. The results show that the method is objective, accurate and practical.","PeriodicalId":255872,"journal":{"name":"2020 39th Chinese Control Conference (CCC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128588194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.23919/CCC50068.2020.9189024
Rui Liu, Zhihua Yu, Daili Mo, Yunfei Cai
Compared with conventional object detection, remote sensing images are taken from the air. The angle of view is not fixed and the object direction, scale which compared with conventional object detection algorithm are quite different. These factors lead to the object detection in remote sensing images difficult. To solve the above problems, this paper proposes an improved remote sensing object detection method based on Faster-RCNN algorithm. Using online difficult example mining technology, feature pyramid structure, Soft-NMS technology, and RoI-Align technology to enhance the capabilities of Faster-RCNN in small object detection task in remote sensing images. The algorithm in this paper was evaluated on the RSOD-Dataset, compared with the original Faster-RCNN algorithm, the proposed algorithm improves the detection accuracy and training convergence speed, which shows that these improvements are of great significance to the object detection algorithm of remote sensing images.
{"title":"An Improved Faster-RCNN Algorithm for Object Detection in Remote Sensing Images","authors":"Rui Liu, Zhihua Yu, Daili Mo, Yunfei Cai","doi":"10.23919/CCC50068.2020.9189024","DOIUrl":"https://doi.org/10.23919/CCC50068.2020.9189024","url":null,"abstract":"Compared with conventional object detection, remote sensing images are taken from the air. The angle of view is not fixed and the object direction, scale which compared with conventional object detection algorithm are quite different. These factors lead to the object detection in remote sensing images difficult. To solve the above problems, this paper proposes an improved remote sensing object detection method based on Faster-RCNN algorithm. Using online difficult example mining technology, feature pyramid structure, Soft-NMS technology, and RoI-Align technology to enhance the capabilities of Faster-RCNN in small object detection task in remote sensing images. The algorithm in this paper was evaluated on the RSOD-Dataset, compared with the original Faster-RCNN algorithm, the proposed algorithm improves the detection accuracy and training convergence speed, which shows that these improvements are of great significance to the object detection algorithm of remote sensing images.","PeriodicalId":255872,"journal":{"name":"2020 39th Chinese Control Conference (CCC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128616049","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}
With the rapid development and application of vehicle communication technology and autonomous driving technology, the traffic flow of freeways and urban roads will inevitably change from traditional traffic flow (all vehicles are controlled by human drivers) to heterogeneous traffic flow (including CACC and other autonomous vehicles). At present, in the field of heterogeneous traffic flow, scholars mostly take modeling and simulation as the means to study the impact of heterogeneous flow in the freeway scene, but few studies discuss the impact of heterogeneous traffic flow on urban roads, especially in the scene of signal control area. In view of this, taking the IDM model as the traditional traffic flow model and the ACC model proposed by University of California at Berkeley as an automatic driving model, this paper builds a heterogeneous traffic flow model in the vicinity of intersections at the background of typical urban traffic scene ˈand also preliminary explore the influence mechanism of the mix of autopilot on the traffic flow in the signal control area through simulation experiments , which can provide reference for the development and application of automatic driving technology.
{"title":"Modeling and Simulation of Heterogeneous Traffic Flow in the Vicinity of Intersections Considering Communication Delay","authors":"Yuchu He, Zhijuan Jia, Yage Cheng, Zhe Li, Lipeng Wang, Junjun Fu","doi":"10.23919/CCC50068.2020.9189519","DOIUrl":"https://doi.org/10.23919/CCC50068.2020.9189519","url":null,"abstract":"With the rapid development and application of vehicle communication technology and autonomous driving technology, the traffic flow of freeways and urban roads will inevitably change from traditional traffic flow (all vehicles are controlled by human drivers) to heterogeneous traffic flow (including CACC and other autonomous vehicles). At present, in the field of heterogeneous traffic flow, scholars mostly take modeling and simulation as the means to study the impact of heterogeneous flow in the freeway scene, but few studies discuss the impact of heterogeneous traffic flow on urban roads, especially in the scene of signal control area. In view of this, taking the IDM model as the traditional traffic flow model and the ACC model proposed by University of California at Berkeley as an automatic driving model, this paper builds a heterogeneous traffic flow model in the vicinity of intersections at the background of typical urban traffic scene ˈand also preliminary explore the influence mechanism of the mix of autopilot on the traffic flow in the signal control area through simulation experiments , which can provide reference for the development and application of automatic driving technology.","PeriodicalId":255872,"journal":{"name":"2020 39th Chinese Control Conference (CCC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128700260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.23919/CCC50068.2020.9189080
Meng Zhang, Yi Yang, Qinghua Jiang, Sixian Zhang
A fast registration method based on line features is proposed for optical remote sensing images with typical line features. Firstly, the line features are extracted by Line Segment Detection (LSD). LSD has attributes including rotation invariance, illumination changes insensitivity and noise resistant ability. Secondly, the initial fast image registration is implemented based on features consensus, to eliminate the influence of scaling, rotation and translation between images on the matching relationship of the lines. Then the line segments with same name are determined according to the proposed similarity criterion and the bidirectional matching relation. By utilizing the intersection points of these line pairs with same name as the matching control points, fine registration can be realized. Finally, the simulation results are analyzed, accuracy and computational efficiency of the proposed method are verified from subjective effect and objective evaluation indices.
{"title":"A Fast Registration Method Based on Line Features","authors":"Meng Zhang, Yi Yang, Qinghua Jiang, Sixian Zhang","doi":"10.23919/CCC50068.2020.9189080","DOIUrl":"https://doi.org/10.23919/CCC50068.2020.9189080","url":null,"abstract":"A fast registration method based on line features is proposed for optical remote sensing images with typical line features. Firstly, the line features are extracted by Line Segment Detection (LSD). LSD has attributes including rotation invariance, illumination changes insensitivity and noise resistant ability. Secondly, the initial fast image registration is implemented based on features consensus, to eliminate the influence of scaling, rotation and translation between images on the matching relationship of the lines. Then the line segments with same name are determined according to the proposed similarity criterion and the bidirectional matching relation. By utilizing the intersection points of these line pairs with same name as the matching control points, fine registration can be realized. Finally, the simulation results are analyzed, accuracy and computational efficiency of the proposed method are verified from subjective effect and objective evaluation indices.","PeriodicalId":255872,"journal":{"name":"2020 39th Chinese Control Conference (CCC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128735711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.23919/CCC50068.2020.9188464
Yanzhao He, Jinxia Wang, Zhenyan Wang, Hong Wang, Quanwu Wang, D. Wei, Zheng Zeng
In order to improve the performance of model reference adaptive system (MRAS) in the speed observation of high-speed permanent magnet synchronous motor(HS-PMSM), a method of MRAS speed observation based on fuzzy adaptive law is proposed by combining fuzzy control with model reference adaptive. On the basis of the magnetic field oriented control strategy, the improved MRAS is used to estimate the rotor position and speed, the current error and error variation are fuzzified as the input of the fuzzy controller, the output is the control increment, after defuzzification, it is used as the increment of rotor angular velocity. The simulation model of sensorless vector control of high-speed PMSM based on MATLAB/Simulink is built and analyzed. The simulation results have shown that, the proposed improved MRAS always achieves better performance and different operation conditions and provides the method is effective and feasible.
{"title":"Speed Observation of High-Speed Permanent Magnet Synchronous Motor Based on Fuzzy MRAS","authors":"Yanzhao He, Jinxia Wang, Zhenyan Wang, Hong Wang, Quanwu Wang, D. Wei, Zheng Zeng","doi":"10.23919/CCC50068.2020.9188464","DOIUrl":"https://doi.org/10.23919/CCC50068.2020.9188464","url":null,"abstract":"In order to improve the performance of model reference adaptive system (MRAS) in the speed observation of high-speed permanent magnet synchronous motor(HS-PMSM), a method of MRAS speed observation based on fuzzy adaptive law is proposed by combining fuzzy control with model reference adaptive. On the basis of the magnetic field oriented control strategy, the improved MRAS is used to estimate the rotor position and speed, the current error and error variation are fuzzified as the input of the fuzzy controller, the output is the control increment, after defuzzification, it is used as the increment of rotor angular velocity. The simulation model of sensorless vector control of high-speed PMSM based on MATLAB/Simulink is built and analyzed. The simulation results have shown that, the proposed improved MRAS always achieves better performance and different operation conditions and provides the method is effective and feasible.","PeriodicalId":255872,"journal":{"name":"2020 39th Chinese Control Conference (CCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129008757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.23919/CCC50068.2020.9188793
Yun Luo, Chun Cheng, Changbin Yu
Individuals’ opinions are affected by their friends or enemies and the relationship can be abstracted as a signed network. However, the emergence of social bots can bring adverse effect to people on the signed network, like misleading the public opinion. In this paper, in order to study the mechanism by which social bots can influence public opinion, we proposed a opinion dynamics model of signed network to study the how the opinion dynamics evolves based on multi-agent model. Afterwards, we give the condition when the probabilities of individuals’ selection of opinions will converge in this model. At last, we simulated to show the convergence of our model, and study the effect of different number of social bots and confidence level to the public opinion. The results shows with the increase of the number of social bots, the public opinion is lead out of balance more severely, and as the proportion of social bots reaches 20%, the public opinion of human agents are mislead, and the opinion held by social bots will be the final opinion in the human population. For the population of human agents and social bots, 17% social bots is needed to lead the public opinion. The value of self-confidence has no effect on the final opinion in the signed network, but only whether people are affected by others has influence on the final opinion.
{"title":"Discrete Opinion Dynamics with Social Bots on Signed Network","authors":"Yun Luo, Chun Cheng, Changbin Yu","doi":"10.23919/CCC50068.2020.9188793","DOIUrl":"https://doi.org/10.23919/CCC50068.2020.9188793","url":null,"abstract":"Individuals’ opinions are affected by their friends or enemies and the relationship can be abstracted as a signed network. However, the emergence of social bots can bring adverse effect to people on the signed network, like misleading the public opinion. In this paper, in order to study the mechanism by which social bots can influence public opinion, we proposed a opinion dynamics model of signed network to study the how the opinion dynamics evolves based on multi-agent model. Afterwards, we give the condition when the probabilities of individuals’ selection of opinions will converge in this model. At last, we simulated to show the convergence of our model, and study the effect of different number of social bots and confidence level to the public opinion. The results shows with the increase of the number of social bots, the public opinion is lead out of balance more severely, and as the proportion of social bots reaches 20%, the public opinion of human agents are mislead, and the opinion held by social bots will be the final opinion in the human population. For the population of human agents and social bots, 17% social bots is needed to lead the public opinion. The value of self-confidence has no effect on the final opinion in the signed network, but only whether people are affected by others has influence on the final opinion.","PeriodicalId":255872,"journal":{"name":"2020 39th Chinese Control Conference (CCC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129150399","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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