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Optimal power allocation for jamming attack against remote estimation in cyber-physical systems 网络物理系统中针对远程估计干扰攻击的优化功率分配
2017 Chinese Automation Congress (CAC) Pub Date : 2017-10-01 DOI: 10.1109/CAC.2017.8244069
Hongbao Shi, Xianghui Cao, Changyin Sun
{"title":"Optimal power allocation for jamming attack against remote estimation in cyber-physical systems","authors":"Hongbao Shi, Xianghui Cao, Changyin Sun","doi":"10.1109/CAC.2017.8244069","DOIUrl":"https://doi.org/10.1109/CAC.2017.8244069","url":null,"abstract":"Recently, the security issues of CPS have attracted much attention from many researchers. Standing on the point of attacker, this work investigates the optimal channel jamming attack against wireless state estimation in CPS with energy constraint. Specifically, we consider that the attacker can jam the wireless channel with various power levels that will cause different sensory packet drop probabilities. We formulate the optimal attacker power allocation problem as to maximize the estimation error covariance under the attacker's power constraint. We theoretically derive the optimal power allocation for the attacker, which is shown resembling a parabola shape along time. Finally, we demonstrate the performance of the proposal allocation scheme through simulations.","PeriodicalId":116872,"journal":{"name":"2017 Chinese Automation Congress (CAC)","volume":"1 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":"116225820","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}
引用次数: 1
Fault variables recognition using improved k-nearest neighbor reconstruction 基于改进k近邻重建的故障变量识别
2017 Chinese Automation Congress (CAC) Pub Date : 2017-10-01 DOI: 10.1109/CAC.2017.8243773
Zhe Zhou, Jie Lei, Zhiqiang Ge, Xiaobin Xu
{"title":"Fault variables recognition using improved k-nearest neighbor reconstruction","authors":"Zhe Zhou, Jie Lei, Zhiqiang Ge, Xiaobin Xu","doi":"10.1109/CAC.2017.8243773","DOIUrl":"https://doi.org/10.1109/CAC.2017.8243773","url":null,"abstract":"Fault detection method using k nearest neighbor rule has shown its advantages in dealing with nonlinear, multi-mode, and nonGaussian distributed data. Once a fault is detected in industrial processes, recognizing fault variables becomes the crucial task subsequently. Recently, the method of fault variables recognition using k nearest neighbor reconstruction (FVR-kNN) has been reported. However, the way of variables estimation in FVR-kNN is not accurate when multiple variables were affected by the fault. To overcome this problem, an improved FVR-kNN method is presented in this paper. The proposed method improves the estimation step of FVR-kNN when predicting multiple variables. It can guarantee that the estimations of these potential fault variables have no mutual influence. Therefore, the proposed method can give more accurate reconstruction samples which will increase the reliability of fault variables recognition. A numerical example illustrates the effectiveness of the proposed method.","PeriodicalId":116872,"journal":{"name":"2017 Chinese Automation Congress (CAC)","volume":"1 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":"116247355","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}
引用次数: 3
Large signal stability analysis of DC microgrid under droop control with constant power load 恒负荷下垂控制下直流微电网大信号稳定性分析
2017 Chinese Automation Congress (CAC) Pub Date : 2017-10-01 DOI: 10.1109/CAC.2017.8242920
Zhongtian Zhao, Jian Hu, Haochen Xue, Ronghui Huang, Xun Li, Xin Zhang
{"title":"Large signal stability analysis of DC microgrid under droop control with constant power load","authors":"Zhongtian Zhao, Jian Hu, Haochen Xue, Ronghui Huang, Xun Li, Xin Zhang","doi":"10.1109/CAC.2017.8242920","DOIUrl":"https://doi.org/10.1109/CAC.2017.8242920","url":null,"abstract":"The stability of bus voltage is the main target of DC microgrid operation. DC microgrid including constant power load, distributed generations employed droop control, and resistive load is investigated. The constant power load can reduce system stability margin, and even cause bus voltage oscillating. The droop control can share the current among different distributed generations, but it can result in the bus voltage deviating from the nominal stable operating point and even destroys the stable operation. Take into account above factors, the model of DC microgrid is established and its stability analysis is researched by using the method of Lyapunov and the corresponding constraints of stable operation are obtained. The stable region of the system with different parameters is explored. Finally, the MATLAB/Simulink simulation model of the DC microgrid is established and the simulation results verify the effectiveness and correctness of the analysis method.","PeriodicalId":116872,"journal":{"name":"2017 Chinese Automation Congress (CAC)","volume":"60 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":"116253645","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}
引用次数: 4
Optimization of train speed curve based on ATO tracking control strategy 基于ATO跟踪控制策略的列车速度曲线优化
2017 Chinese Automation Congress (CAC) Pub Date : 2017-10-01 DOI: 10.1109/CAC.2017.8244082
Tang Licheng, T. Tao, Xun Jing, Suo Shuai, Liu Tong
{"title":"Optimization of train speed curve based on ATO tracking control strategy","authors":"Tang Licheng, T. Tao, Xun Jing, Suo Shuai, Liu Tong","doi":"10.1109/CAC.2017.8244082","DOIUrl":"https://doi.org/10.1109/CAC.2017.8244082","url":null,"abstract":"How to reduce the energy consumption of urban rail transit system is always the focus of attention. The automatic train operation(ATO) system operates trains between successive stations by controlling the speed automatically, which is very important for the train energy saving operation. The traditional ATO recommended speed curve optimization research is based on line information, train information and control objectives to generate the optimal recommended speed curve, which does not take the influence ATO tracking control strategy taken on the practical driving strategy into account. In this paper, the recommended speed curve optimization and ATO tracking control strategy are considered together. On the basis of using the dynamic programming to optimize the recommended speed curve of the train, a method based on the existing ATO tracking control strategy for the recommended speed curve optimization is given. The method can effectively reduce the energy consumption under the condition that the running time is acceptable.","PeriodicalId":116872,"journal":{"name":"2017 Chinese Automation Congress (CAC)","volume":"72 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":"116294015","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}
引用次数: 5
Maximum principle for Mckean-Vlasov type semi-linear stochastic evolution equations Mckean-Vlasov型半线性随机演化方程的极大值原理
2017 Chinese Automation Congress (CAC) Pub Date : 2017-10-01 DOI: 10.1109/CAC.2017.8243626
Zhipeng Li, Bingchang Wang, Huanshui Zhang, M. Fu, Qianqian Cai
{"title":"Maximum principle for Mckean-Vlasov type semi-linear stochastic evolution equations","authors":"Zhipeng Li, Bingchang Wang, Huanshui Zhang, M. Fu, Qianqian Cai","doi":"10.1109/CAC.2017.8243626","DOIUrl":"https://doi.org/10.1109/CAC.2017.8243626","url":null,"abstract":"We investigate the optimal control problem with a final state constraint for the controlled Mckean-Vlasov type semi-linear stochastic evolution equations. By mean of Ekeland's variation principle, we give the maximum principle. It turns out that the form of the maximum principle is quite different from the one corresponding to the case of linear diffusion.","PeriodicalId":116872,"journal":{"name":"2017 Chinese Automation Congress (CAC)","volume":"301 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":"116332497","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}
引用次数: 0
Automatic characterization of leukemic cells with 2D light scattering static cytometry 用二维光散射静态细胞仪自动表征白血病细胞
2017 Chinese Automation Congress (CAC) Pub Date : 2017-10-01 DOI: 10.1109/CAC.2017.8243843
Lan Wang, Qiao Liu, Linyan Xie, C. Shao, Xuantao Su
{"title":"Automatic characterization of leukemic cells with 2D light scattering static cytometry","authors":"Lan Wang, Qiao Liu, Linyan Xie, C. Shao, Xuantao Su","doi":"10.1109/CAC.2017.8243843","DOIUrl":"https://doi.org/10.1109/CAC.2017.8243843","url":null,"abstract":"Two-dimensional light scattering patterns of single normal granulocytes and acute leukemia cells (HL-60 cells) are obtained by using our label-free static cytometric technology. Conventional flow cytometry for the differentiation of these two types of cells is performed by measuring both the forward scattering (FSC) and side scattering (SSC). Our label-free static cytometer obtains the SSC patterns of single cells. By applying machine learning algorithm to the SSC patterns, a high accuracy rate for the classification of normal granulocytes and HL-60 cells is obtained. This may provide an automatic, label-free technique for leukemia analysis.","PeriodicalId":116872,"journal":{"name":"2017 Chinese Automation Congress (CAC)","volume":"3 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":"121586214","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}
引用次数: 0
Transactive energy scheme based on multi-factor evaluation and contract net protocol for distribution network with high penetration of DERs 基于多因素评价和合约网协议的高分布式分布式配电网能源方案
2017 Chinese Automation Congress (CAC) Pub Date : 2017-10-01 DOI: 10.1109/CAC.2017.8244066
Liuchen Chang, Xi Wang, M. Mao
{"title":"Transactive energy scheme based on multi-factor evaluation and contract net protocol for distribution network with high penetration of DERs","authors":"Liuchen Chang, Xi Wang, M. Mao","doi":"10.1109/CAC.2017.8244066","DOIUrl":"https://doi.org/10.1109/CAC.2017.8244066","url":null,"abstract":"Distributed energy resources (DERs) include distributed generations (DGs), distributed energy storages (DESs), and the demand response resources (DRRs). With the increasing penetration of DERs in distribution network, more and more users change from power consumers to prosumers which have great influences on distribution network as well as generate new business models on the demand side. Based on the emerging change of the power system, this paper proposes a transactive energy scheme (TES) based on multi-factor evaluation and contract net protocol to determine energy trading strategies among prosumers to realize economic and stable operation of distribution network. In the proposed TES, a TE market is built in the deregulatory retail power market. Power consumers, smart homes, industrial parks, or virtual power plants with DERs take the initiative as transactive nodes (TNs), and the peer to peer transactions among TNs in TE market can be carried out based on the multi-factor evaluation and contract protocol. When a TN cannot meet its own electricity demand, it launches the contract net to other TNs, requests to carry on the electric energy transaction, and determines the selected TNs according to the multi-factor evaluation. The simulation results show compared with the traditional electricity business model, the market participants who use the proposed TES can gain more economic benefits as well as protecting their own privacy.","PeriodicalId":116872,"journal":{"name":"2017 Chinese Automation Congress (CAC)","volume":"42 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":"121671532","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}
引用次数: 9
Study on fault detection robot for oil-immersed transformer based on WiFi control 基于WiFi控制的油浸变压器故障检测机器人研究
2017 Chinese Automation Congress (CAC) Pub Date : 2017-10-01 DOI: 10.1109/CAC.2017.8242735
Ronghui Huang, Yuming Zhao, Xun Li, Yingbin Feng, Guoxing Wu, Zhigang Li
{"title":"Study on fault detection robot for oil-immersed transformer based on WiFi control","authors":"Ronghui Huang, Yuming Zhao, Xun Li, Yingbin Feng, Guoxing Wu, Zhigang Li","doi":"10.1109/CAC.2017.8242735","DOIUrl":"https://doi.org/10.1109/CAC.2017.8242735","url":null,"abstract":"For the problem of hefty workload and bring impurity in the process of artificial transformer internal fault detection, a WiFi control based robot is designed to detect the internal fault of the oil-immersed power transformer. The outline structure of the fault detection robot for transformer is illustrated, and WiFi communication module is used to build the control system of the robot. Electromagnetic transmission is used to analyses transmission mechanism of WiFi electromagnetic signal passing through transformer oil, and a communication test was carried. The movement status of the robot in the liquid is tested in this paper as well. The results indicate that the robot designed is able to move flexibly inside the transformer and communicate to the remote control.","PeriodicalId":116872,"journal":{"name":"2017 Chinese Automation Congress (CAC)","volume":"113 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114022112","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}
引用次数: 3
A neural network-based method with data preprocess for fault diagnosis of drive system in battery electric vehicles 基于神经网络数据预处理的纯电动汽车驱动系统故障诊断方法
2017 Chinese Automation Congress (CAC) Pub Date : 2017-10-01 DOI: 10.1109/CAC.2017.8243504
Zheng Zhang, Hongwen He, Nana Zhou
{"title":"A neural network-based method with data preprocess for fault diagnosis of drive system in battery electric vehicles","authors":"Zheng Zhang, Hongwen He, Nana Zhou","doi":"10.1109/CAC.2017.8243504","DOIUrl":"https://doi.org/10.1109/CAC.2017.8243504","url":null,"abstract":"The dynamic and system reliability of driving system in battery electric vehicles (BEVs) highly depend on the fault diagnosis technology. In this paper, we provided a new data compression approach and validated it on a method based on neural network (NN) to detect both failures' types and degree in drive system. In time-/frequency domain several statistical features were extracted from signals acquired during the simulation with injection of faults. A brief method was introduced to preprocess training data with a comparison to the standard deviation-based method, via analyzing the linear relationship between features and patterns to be classified. In addition, the diagnostic NN's configuration was optimized by the design of experiment. Results indicate the proposed method for data preprocess can significantly improve the efficiency and precision in categorizing all the faults sample especially for fault degree considered in this study.","PeriodicalId":116872,"journal":{"name":"2017 Chinese Automation Congress (CAC)","volume":"03 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":"124471510","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}
引用次数: 3
An improved approach to control PMSG-based variable speed wind energy conversion systems 基于pmsg的变速风能转换系统的改进控制方法
2017 Chinese Automation Congress (CAC) Pub Date : 2017-10-01 DOI: 10.1109/CAC.2017.8243631
Jianhua Zhang, M. Ning, Xuan Yin, Shuanglu Song, Pansheng Wang
{"title":"An improved approach to control PMSG-based variable speed wind energy conversion systems","authors":"Jianhua Zhang, M. Ning, Xuan Yin, Shuanglu Song, Pansheng Wang","doi":"10.1109/CAC.2017.8243631","DOIUrl":"https://doi.org/10.1109/CAC.2017.8243631","url":null,"abstract":"In this paper, a nonlinear model is established for wind energy conversion systems (WECSs) under the rated wind speed. An improved control approach is then proposed for the WECS to deal with non-Gaussian disturbance induced by wind speed. Finally, simulation results show the effectiveness of the improved control approach.","PeriodicalId":116872,"journal":{"name":"2017 Chinese Automation Congress (CAC)","volume":"96 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":"124526037","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}
引用次数: 1
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