Pub Date : 2017-05-28DOI: 10.1109/CCDC.2017.7978347
G. Chuan, Huang Xuhui, Jiang Jingyan, Du Ning, Rui Wei, W. Bowen
To realize the contour control of the full flexible nozzle in the new 0.6m × 0.6m transonic and supersonic wind tunnel of CARDC, compare with Hydraulic Mode, Hydraulic+Motor Mode, Motor Mode and solve the multi-axis synchronous control problem. Adopt electric cylinders and electric putters as the actuators of the control system. Address Virtual Axis synchronization strategy and optimize the relevant control parameters based on SIMENS SIMOTION D, design the hardware composing and software function according to its structure and technical requirements. Test results of the multi-axis synchronous control experiment were analyzed, which validate that the nozzle control system has high accuracy and good stability in synchronous control. The developed system and proposed algorithm can meet the engineering application request and achieve good effect in addition.
{"title":"Development of the nozzle control system in 0.6m trans-supersonic wind tunnel","authors":"G. Chuan, Huang Xuhui, Jiang Jingyan, Du Ning, Rui Wei, W. Bowen","doi":"10.1109/CCDC.2017.7978347","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978347","url":null,"abstract":"To realize the contour control of the full flexible nozzle in the new 0.6m × 0.6m transonic and supersonic wind tunnel of CARDC, compare with Hydraulic Mode, Hydraulic+Motor Mode, Motor Mode and solve the multi-axis synchronous control problem. Adopt electric cylinders and electric putters as the actuators of the control system. Address Virtual Axis synchronization strategy and optimize the relevant control parameters based on SIMENS SIMOTION D, design the hardware composing and software function according to its structure and technical requirements. Test results of the multi-axis synchronous control experiment were analyzed, which validate that the nozzle control system has high accuracy and good stability in synchronous control. The developed system and proposed algorithm can meet the engineering application request and achieve good effect in addition.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"136 1","pages":"6522-6526"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73745877","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 : 2017-05-28DOI: 10.1109/CCDC.2017.7978860
Xiaozhong Zhang, Xiukun Wei, Guorui Zhai, L. Jia
The Suspension system is crucial for safety and steady operation of high-speed vehicles, for which the research on fault diagnosis and isolation is necessary. In this paper, the PSD distance feature extraction method is presented. The vehicle dynamic model is built in SIMPACK and the external force models are built in SIMULINK. Different fault levels of the vehicle suspension components are simulated based on the co-simulation between SIMPACK and SIMULINK. The Fuzzy Possibilistic C-Means Clustering (FPCM) and BP neural network are combined for isolating different component faults. The simulation results show that the method proposed in this paper achieves sound performance.
{"title":"Fault isolation for rail vehicle suspension systems based on PSD distance feature","authors":"Xiaozhong Zhang, Xiukun Wei, Guorui Zhai, L. Jia","doi":"10.1109/CCDC.2017.7978860","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978860","url":null,"abstract":"The Suspension system is crucial for safety and steady operation of high-speed vehicles, for which the research on fault diagnosis and isolation is necessary. In this paper, the PSD distance feature extraction method is presented. The vehicle dynamic model is built in SIMPACK and the external force models are built in SIMULINK. Different fault levels of the vehicle suspension components are simulated based on the co-simulation between SIMPACK and SIMULINK. The Fuzzy Possibilistic C-Means Clustering (FPCM) and BP neural network are combined for isolating different component faults. The simulation results show that the method proposed in this paper achieves sound performance.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"7 1","pages":"2085-2090"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85760384","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 : 2017-05-28DOI: 10.1109/CCDC.2017.7978999
Kang Wu, Changyin Sun, Yuqiang Wu
The adaptive output feedback controller is proposed for nonholonomic systems with nonlinear uncertainties and external disturbances. The disturbance is as the generalized system state. An extended state observer is designed for the uncertain external disturbance in order to ensure the global asymptotical stability of the closed loop system. A novel observer / estimator is introduced for state and unknown parameter estimates. The integrator backstepping technique based on a constructive recursive is applied to the design of the output feedback adaptive controller. The numeric simulation example validates the effectiveness of the proposed method.
{"title":"Output feedback control based on extended state observer for nonholonomic systems","authors":"Kang Wu, Changyin Sun, Yuqiang Wu","doi":"10.1109/CCDC.2017.7978999","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978999","url":null,"abstract":"The adaptive output feedback controller is proposed for nonholonomic systems with nonlinear uncertainties and external disturbances. The disturbance is as the generalized system state. An extended state observer is designed for the uncertain external disturbance in order to ensure the global asymptotical stability of the closed loop system. A novel observer / estimator is introduced for state and unknown parameter estimates. The integrator backstepping technique based on a constructive recursive is applied to the design of the output feedback adaptive controller. The numeric simulation example validates the effectiveness of the proposed method.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"12 1","pages":"2858-2864"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79608878","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 : 2017-05-28DOI: 10.1109/CCDC.2017.7979179
Zhiqiang Long, Jingfang Ding, Cheng-xin Fan
The process of risk-based maintenance not only considers the probability of the malfunctions of the system components, but also considers many risk factors integrally such as personal safety, parking loss, maintenance costs, environmental impact and so on. These risk factors are often with uncertainty and ambiguity. Based on the above problems, this paper puts forward a comprehensive evaluation method of equipment risk based on fuzzy theory. The method uses fuzzy analytic hierarchy process and fuzzy comprehensive evaluation method to establish a fuzzy evaluation method which supports the expert opinion. Combined with the severity of the consequences of the malfunctions, the method of the risk level evaluation is proposed. Maintenance decisions become more practical, by giving the appropriate maintenance recommendations.
{"title":"Comprehensive evaluation of Maglev train risk based on fuzzy theory","authors":"Zhiqiang Long, Jingfang Ding, Cheng-xin Fan","doi":"10.1109/CCDC.2017.7979179","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7979179","url":null,"abstract":"The process of risk-based maintenance not only considers the probability of the malfunctions of the system components, but also considers many risk factors integrally such as personal safety, parking loss, maintenance costs, environmental impact and so on. These risk factors are often with uncertainty and ambiguity. Based on the above problems, this paper puts forward a comprehensive evaluation method of equipment risk based on fuzzy theory. The method uses fuzzy analytic hierarchy process and fuzzy comprehensive evaluation method to establish a fuzzy evaluation method which supports the expert opinion. Combined with the severity of the consequences of the malfunctions, the method of the risk level evaluation is proposed. Maintenance decisions become more practical, by giving the appropriate maintenance recommendations.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"29 1","pages":"3879-3884"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85927488","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 : 2017-05-28DOI: 10.1109/CCDC.2017.7978630
R. He, Luhua Liu, G. Tang, Weimin Bao
In this paper, a planning approach of maneuver trajectory based on dynamic inversion is proposed, which can greatly improve the penetrability of hypersonic glide vehicles in dive phase. Maeuvering and guiding overloads are combined using a weight coefficient, which is designed as the function of altitude. Enough adjust ability is guranteed at the end of dive phase, and more complex maneuver trajectories are achieved. Firstly, four different modes of maneuver trajectories are realized by coordinating the maneuver in longitudinal and lateral sub-planes, respectively. Dynamic inversion is employed to establish the relationship between the designed trajectory and the needed overload. Secondly, the minimum energy loss is selected as the optimization index, and the optimal overload is obtained based on the maximum principle. the final path angle constraint is also considered in this algorithm. Finally, the maneuvering and guiding overloads are combined using a weight coefficient, and the corresponding angle of attack and bank are obtained. The approach is tested using common aero vehicle-H (CAV-H) model, and the results demonstrate that the method proposed in this paper can realize the maneuver trajectory in dive phase with high terminal accuracy and strong penetration ability.
本文提出了一种基于动态反演的机动弹道规划方法，可大大提高高超声速滑翔飞行器俯冲段的突防能力。利用一个权重系数将机动和制导过载结合起来，该权重系数被设计为高度的函数。在俯冲阶段结束时，保证了足够的调整能力，实现了更复杂的机动轨迹。首先，通过在纵向和横向子平面上协调机动，实现了四种不同的机动轨迹模式;采用动力学反演方法建立了设计轨迹与所需过载之间的关系。其次，选择能量损失最小作为优化指标，根据最大原则得到最优过载;该算法还考虑了最终路径角约束。最后利用权重系数对机动过载和制导过载进行组合，得到相应的攻角和倾斜角。利用普通飞行器- h (CAV-H)模型对该方法进行了测试，结果表明，该方法能够实现俯冲阶段机动弹道，具有较高的末端精度和较强的突防能力。
{"title":"Maneuver trajectory design for hypersonic glide vehicles in dive phase","authors":"R. He, Luhua Liu, G. Tang, Weimin Bao","doi":"10.1109/CCDC.2017.7978630","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978630","url":null,"abstract":"In this paper, a planning approach of maneuver trajectory based on dynamic inversion is proposed, which can greatly improve the penetrability of hypersonic glide vehicles in dive phase. Maeuvering and guiding overloads are combined using a weight coefficient, which is designed as the function of altitude. Enough adjust ability is guranteed at the end of dive phase, and more complex maneuver trajectories are achieved. Firstly, four different modes of maneuver trajectories are realized by coordinating the maneuver in longitudinal and lateral sub-planes, respectively. Dynamic inversion is employed to establish the relationship between the designed trajectory and the needed overload. Secondly, the minimum energy loss is selected as the optimization index, and the optimal overload is obtained based on the maximum principle. the final path angle constraint is also considered in this algorithm. Finally, the maneuvering and guiding overloads are combined using a weight coefficient, and the corresponding angle of attack and bank are obtained. The approach is tested using common aero vehicle-H (CAV-H) model, and the results demonstrate that the method proposed in this paper can realize the maneuver trajectory in dive phase with high terminal accuracy and strong penetration ability.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"30 1","pages":"802-807"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85933920","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 : 2017-05-28DOI: 10.1109/CCDC.2017.7978069
Shoutao Li, Jingchun Xu, Wei Wei, Haiying Qi
The method of B-spline curve fitting linebased on the binary particle swarm optimization is presented in this paper. First, according to the characteristics of the vertical and transverse width of the line must be straight, to extract the lane line feature points, and sorting out the feature points. Then, we select the cubic B-spline curve to fit the curve lane, first the discrete bunary particle swarm algorithm to optimize the number n of the control points, then by the least square method to calculate the control points of B-spline curve, according to the B-spline crrve fitting out the corresponding curve line. In order todetect corners recognition performance in a variety of road conditions has carried on the experimental study and the results show that the method has great adaptability.
{"title":"Curve lane detection based on the binary particle swarm optimization","authors":"Shoutao Li, Jingchun Xu, Wei Wei, Haiying Qi","doi":"10.1109/CCDC.2017.7978069","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978069","url":null,"abstract":"The method of B-spline curve fitting linebased on the binary particle swarm optimization is presented in this paper. First, according to the characteristics of the vertical and transverse width of the line must be straight, to extract the lane line feature points, and sorting out the feature points. Then, we select the cubic B-spline curve to fit the curve lane, first the discrete bunary particle swarm algorithm to optimize the number n of the control points, then by the least square method to calculate the control points of B-spline curve, according to the B-spline crrve fitting out the corresponding curve line. In order todetect corners recognition performance in a variety of road conditions has carried on the experimental study and the results show that the method has great adaptability.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"3 1","pages":"75-80"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87163015","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 : 2017-05-28DOI: 10.1109/CCDC.2017.7978065
Jiaoru Huang, Jiayue Ma, F. Qian, Chaobo Chen, Xiaoru Song
A Linear Quadratic robust control algorithm is proposed for the system with non-stochastic uncertainties. In this paper, the uncertainties are the noises which lie in a bounded ellipsoid set. The assumption weakens the requirements of the known Gaussian distribution in the traditional Linear Quadratic Gaussian (LQG) control. Based on the linear characteristic of the system and robust optimization theory, the linear quadratic robust controller is designed. The simulation results show the effectiveness of the algorithm.
{"title":"Research on linear quadratic robust control algorithm for non-stochastic uncertain system","authors":"Jiaoru Huang, Jiayue Ma, F. Qian, Chaobo Chen, Xiaoru Song","doi":"10.1109/CCDC.2017.7978065","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978065","url":null,"abstract":"A Linear Quadratic robust control algorithm is proposed for the system with non-stochastic uncertainties. In this paper, the uncertainties are the noises which lie in a bounded ellipsoid set. The assumption weakens the requirements of the known Gaussian distribution in the traditional Linear Quadratic Gaussian (LQG) control. Based on the linear characteristic of the system and robust optimization theory, the linear quadratic robust controller is designed. The simulation results show the effectiveness of the algorithm.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"14 1","pages":"52-56"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73182988","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 : 2017-05-28DOI: 10.1109/CCDC.2017.7979092
Qingqi Liu, Hualong Yang
Lean production is one of the initiatives that are applied by many manufacturers to obtain the competitive advantages in the increasingly competitive global market. Value Stream Mapping (VSM) is one of the key lean tools to identify the opportunities for other lean approaches and for waste elimination in the production system. Since the performance of the supply chain would significantly influence that of individual partners, the implementation of lean thinking should also extend beyond the boundary of the manufacturing plant to the whole value chain. This paper introduces the VSM and the extended VSM used for description, analysis and identification of improvement initiatives internally and externally in the context of a footwear manufacturing enterprise. It can be seen from the analysis of the “initial state”, “current state” and “future state” VSM that the inventory and other non-value added activities within the manufacturing plant can be reduced by the launch of lean initiatives internally. However, the market responsiveness and competitiveness would not be enhanced substantially unless the extended VSM is taken into the implementation of lean.
{"title":"Lean implementation through value stream mapping: A case study of a footwear manufacturer","authors":"Qingqi Liu, Hualong Yang","doi":"10.1109/CCDC.2017.7979092","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7979092","url":null,"abstract":"Lean production is one of the initiatives that are applied by many manufacturers to obtain the competitive advantages in the increasingly competitive global market. Value Stream Mapping (VSM) is one of the key lean tools to identify the opportunities for other lean approaches and for waste elimination in the production system. Since the performance of the supply chain would significantly influence that of individual partners, the implementation of lean thinking should also extend beyond the boundary of the manufacturing plant to the whole value chain. This paper introduces the VSM and the extended VSM used for description, analysis and identification of improvement initiatives internally and externally in the context of a footwear manufacturing enterprise. It can be seen from the analysis of the “initial state”, “current state” and “future state” VSM that the inventory and other non-value added activities within the manufacturing plant can be reduced by the launch of lean initiatives internally. However, the market responsiveness and competitiveness would not be enhanced substantially unless the extended VSM is taken into the implementation of lean.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"56 1","pages":"3390-3395"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91307448","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 : 2017-05-28DOI: 10.1109/CCDC.2017.7978679
Jingshuai Huang, Hong-bo Zhang, G. Tang, Weimin Bao
In order to achieve hit-to-kill in terms of intercepting the hypersonic glide vehicle, the first task is to accurately track the flight state and predict the trajectory. In this paper, a radar tracking approach for hypersonic glide vehicles is proposed based on a novel aerodynamic model. The extended motion equations are derived on basis of the established aerodynamic acceleration, and the measurement equations of radar are given. In view of the nonlinearities, the extended and unscented Kalman filters are adopted to estimate the extended state, respectively. To examine the proposed method, two types of standard trajectories are designed and then tracked. Simulation results indicate that it can precisely track the hypersonic glide vehicle, which provides a guarantee of the following trajectory prediction.
{"title":"Radar tracking for hypersonic glide vehicle based on aerodynamic model","authors":"Jingshuai Huang, Hong-bo Zhang, G. Tang, Weimin Bao","doi":"10.1109/CCDC.2017.7978679","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978679","url":null,"abstract":"In order to achieve hit-to-kill in terms of intercepting the hypersonic glide vehicle, the first task is to accurately track the flight state and predict the trajectory. In this paper, a radar tracking approach for hypersonic glide vehicles is proposed based on a novel aerodynamic model. The extended motion equations are derived on basis of the established aerodynamic acceleration, and the measurement equations of radar are given. In view of the nonlinearities, the extended and unscented Kalman filters are adopted to estimate the extended state, respectively. To examine the proposed method, two types of standard trajectories are designed and then tracked. Simulation results indicate that it can precisely track the hypersonic glide vehicle, which provides a guarantee of the following trajectory prediction.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"20 1","pages":"1080-1084"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87649540","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 : 2017-05-28DOI: 10.1109/CCDC.2017.7978061
Zhiyuan Nie, Yongduan Song, Liu He, Kai Zhao
In this paper we present a computationally inexpensive adaptive control method for a class of single-input single-output (SISO) uncertain nonlinear dynamic system with actuator failure, modeling uncertainties and external disturbances. By blending system deep-rooted information into backstepping control design and with the help of Nussbaum gains, we develop a robust adaptive control scheme to deal with system uncertainties and actuation failures, which ensures pre-described performance specifications without involving complex online computations. Both theoretical analysis and numerical simulation verify the effectiveness and benefits of the proposed method.
{"title":"Adaptive fault-tolerant control for uncertain nonlinear system with guaranteed pre-described performance","authors":"Zhiyuan Nie, Yongduan Song, Liu He, Kai Zhao","doi":"10.1109/CCDC.2017.7978061","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978061","url":null,"abstract":"In this paper we present a computationally inexpensive adaptive control method for a class of single-input single-output (SISO) uncertain nonlinear dynamic system with actuator failure, modeling uncertainties and external disturbances. By blending system deep-rooted information into backstepping control design and with the help of Nussbaum gains, we develop a robust adaptive control scheme to deal with system uncertainties and actuation failures, which ensures pre-described performance specifications without involving complex online computations. Both theoretical analysis and numerical simulation verify the effectiveness and benefits of the proposed method.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"5 1","pages":"28-33"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86590529","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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