Pub Date : 2018-07-01DOI: 10.23919/CHICC.2018.8483257
Yuenan Wang, Shenquan Wang, Wenchengyu Ji, Keping Liu
The problem of the fault estimation for continuous time linear systems with time-varying delay based on the intermediate estimator method is considered over fading channels. The fault estimation filter parameters are designed using the Lyapunov function method, a reciprocal convex combination approach, Wirtinger integral inequality and LMI formulation for the analysis and synthesis of the resultant systems. The desired filter parameter gains are obtained such that the resulting filter error system is exponentially stable. Then, the congruence transform method is used to remove the design constraints to obtain the feasibility result. A numerical example illustrates the effectiveness of the proposed method.
{"title":"Fault Estimation for Continuous Time Linear Systems with Time-varying Delay Based on Intermediate Estimator over Fading Channels","authors":"Yuenan Wang, Shenquan Wang, Wenchengyu Ji, Keping Liu","doi":"10.23919/CHICC.2018.8483257","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8483257","url":null,"abstract":"The problem of the fault estimation for continuous time linear systems with time-varying delay based on the intermediate estimator method is considered over fading channels. The fault estimation filter parameters are designed using the Lyapunov function method, a reciprocal convex combination approach, Wirtinger integral inequality and LMI formulation for the analysis and synthesis of the resultant systems. The desired filter parameter gains are obtained such that the resulting filter error system is exponentially stable. Then, the congruence transform method is used to remove the design constraints to obtain the feasibility result. A numerical example illustrates the effectiveness of the proposed method.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125849327","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 : 2018-07-01DOI: 10.23919/CHICC.2018.8482716
Jia-Qi Pan, Wen-Qiang Zou, Jun-Hua Duan
The distributed permutation flowshop scheduling problem (DPFSP) has important applications in modern industries. This paper presents a discrete artificial bee colony (DABC) algorithm for solving the DPFSP with total flow time criterion. We use the job permutation based representation to represent the candidate solutions. The insertion operator is adapted to generate neighboring solutions in the search process. We re-design the search phases including employ bees, onlooker bees, and scout bees according to the problem-specific knowledge. A comprehensive computational campaign based on the 720 benchmark instances demonstrates the effectiveness of the proposed DABC algorithm for solving the DPFSP with the total flowtime criterion.
{"title":"A Discrete Artificial Bee Colony for Distributed Permutation Flowshop Scheduling Problem with Total Flow Time Minimization","authors":"Jia-Qi Pan, Wen-Qiang Zou, Jun-Hua Duan","doi":"10.23919/CHICC.2018.8482716","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8482716","url":null,"abstract":"The distributed permutation flowshop scheduling problem (DPFSP) has important applications in modern industries. This paper presents a discrete artificial bee colony (DABC) algorithm for solving the DPFSP with total flow time criterion. We use the job permutation based representation to represent the candidate solutions. The insertion operator is adapted to generate neighboring solutions in the search process. We re-design the search phases including employ bees, onlooker bees, and scout bees according to the problem-specific knowledge. A comprehensive computational campaign based on the 720 benchmark instances demonstrates the effectiveness of the proposed DABC algorithm for solving the DPFSP with the total flowtime criterion.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125875445","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 : 2018-07-01DOI: 10.23919/CHICC.2018.8483930
You Wu, Lijun Fu, Yinan Xu, Fan Ma, Yao Lu
As a mainstream communication bus, the controller area network (CAN) is widely applied in automobiles, ships, trains and power systems. In this paper, based on the application of CAN in power system control, a simulation model of CAN bus is built in network simulator OPNET, including the corresponding node model, process model, packet model and link model. The effectiveness of the model is validated through simulations. A cyber-physical power system co-simulation platform based on OPNET and PSCAD is also proposed in this paper. The interfaces between the two simulators and the time synchronization method of the co-simulation platform are designed. And the CAN model is modified with OPNET ESYS module to be integrated in the co-simulation.
{"title":"Controller Area Network Modeling and Its Application in Cyber-Physical Power System Co-Simulation","authors":"You Wu, Lijun Fu, Yinan Xu, Fan Ma, Yao Lu","doi":"10.23919/CHICC.2018.8483930","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8483930","url":null,"abstract":"As a mainstream communication bus, the controller area network (CAN) is widely applied in automobiles, ships, trains and power systems. In this paper, based on the application of CAN in power system control, a simulation model of CAN bus is built in network simulator OPNET, including the corresponding node model, process model, packet model and link model. The effectiveness of the model is validated through simulations. A cyber-physical power system co-simulation platform based on OPNET and PSCAD is also proposed in this paper. The interfaces between the two simulators and the time synchronization method of the co-simulation platform are designed. And the CAN model is modified with OPNET ESYS module to be integrated in the co-simulation.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125957099","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 : 2018-07-01DOI: 10.23919/CHICC.2018.8483019
Hang Zheng, Qingshan She, Xueqing Geng, Yuliang Ma
Granger causality (GC) has been widely applied into the investigation of the directed functional connectivity from neurophysiological data, and however conventional GC approaches is based on the vector autoregressive (VAR) model in which the delay-dependent structure and the influence of model coefficients on causal relevance are not taken into account. In this paper, a novel causality analysis method is proposed based on modified causality measure and adaptive estimation of the orders of lagged variables. Firstly, the modified backward-in-time-selection (mBTS) algorithm is used for multivariate time series to dynamically select the lag order of each variable in basic VAR model. Secondly, a restricted VAR model is established using the appropriate set of orders and explanatory vectors found by mBTS. Then, the residuals and coefficients of the model are used to redefine the strength of cause-effect relationship between the variables. Compared with traditional GC, conditional GC (CGC), new causality (NC), new conditional causality (NCC), conditional GC based on time-ordered restricted VAR model (CGCI), the experimental results of simulations and real motor imagery EEG data verify the effectiveness of the proposed method.
{"title":"New causality with adaptive model order and its applications to motor imagery EEG","authors":"Hang Zheng, Qingshan She, Xueqing Geng, Yuliang Ma","doi":"10.23919/CHICC.2018.8483019","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8483019","url":null,"abstract":"Granger causality (GC) has been widely applied into the investigation of the directed functional connectivity from neurophysiological data, and however conventional GC approaches is based on the vector autoregressive (VAR) model in which the delay-dependent structure and the influence of model coefficients on causal relevance are not taken into account. In this paper, a novel causality analysis method is proposed based on modified causality measure and adaptive estimation of the orders of lagged variables. Firstly, the modified backward-in-time-selection (mBTS) algorithm is used for multivariate time series to dynamically select the lag order of each variable in basic VAR model. Secondly, a restricted VAR model is established using the appropriate set of orders and explanatory vectors found by mBTS. Then, the residuals and coefficients of the model are used to redefine the strength of cause-effect relationship between the variables. Compared with traditional GC, conditional GC (CGC), new causality (NC), new conditional causality (NCC), conditional GC based on time-ordered restricted VAR model (CGCI), the experimental results of simulations and real motor imagery EEG data verify the effectiveness of the proposed method.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125963254","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 : 2018-07-01DOI: 10.23919/CHICC.2018.8483761
Shiwei Cui, Lingguo Cui, Yidong Du, S. Chai, Baihai Zhang
MEMS accelerometer, the key component of the Inertial Navigation System (INS), has been widely applied in various electronic consumption fields such as mobile phones and unmanned vehicles. However, it suffers from the scale factor errors, constant biases, and misalignment errors. These calibration errors which are not fully compensated may remain in the initial alignment of the INS, and result in attitude errors. In order to address this problem, this paper presents an efficient calibration method of MEMS accelerometer based on Kaiser filter and the ellipsoid fitting. At first, the raw data from the output of the accelerometer will be filtered by using the Kaiser filter. In the second stage, the mathematical error model of the accelerometer is constructed via ellipsoid fitting. Subsequently, the calibration scheme will be given. The experimental results show that the output of the calibrated tri-axis MEMS accelerometer is close to the standard value, and the absolute error of the pitch angle calculated by the accelerometer is reduced from 4.431 degrees (before compensation) to 0.735 degrees (after calibration). Compared with the traditional six-position calibration method, the accuracy of the MEMS accelerometer is significantly improved more than 36% by applying the proposed algorithm. Therefore, it is feasible and advantageous to apply the presented calibration algorithm for improving the measurement accuracy of the MEMS accelerometer.
{"title":"Calibration of MEMS Accelerometer Using Kaiser Filter and the Ellipsoid Fitting Method","authors":"Shiwei Cui, Lingguo Cui, Yidong Du, S. Chai, Baihai Zhang","doi":"10.23919/CHICC.2018.8483761","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8483761","url":null,"abstract":"MEMS accelerometer, the key component of the Inertial Navigation System (INS), has been widely applied in various electronic consumption fields such as mobile phones and unmanned vehicles. However, it suffers from the scale factor errors, constant biases, and misalignment errors. These calibration errors which are not fully compensated may remain in the initial alignment of the INS, and result in attitude errors. In order to address this problem, this paper presents an efficient calibration method of MEMS accelerometer based on Kaiser filter and the ellipsoid fitting. At first, the raw data from the output of the accelerometer will be filtered by using the Kaiser filter. In the second stage, the mathematical error model of the accelerometer is constructed via ellipsoid fitting. Subsequently, the calibration scheme will be given. The experimental results show that the output of the calibrated tri-axis MEMS accelerometer is close to the standard value, and the absolute error of the pitch angle calculated by the accelerometer is reduced from 4.431 degrees (before compensation) to 0.735 degrees (after calibration). Compared with the traditional six-position calibration method, the accuracy of the MEMS accelerometer is significantly improved more than 36% by applying the proposed algorithm. Therefore, it is feasible and advantageous to apply the presented calibration algorithm for improving the measurement accuracy of the MEMS accelerometer.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126078868","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 : 2018-07-01DOI: 10.23919/CHICC.2018.8483145
Jiaxiang Zhang, Qing Fei, Bo Wang, Qingbo Geng
This paper considers a leader-following consensus problem for complex heterogeneous multi-agent systems composed of the first-order linear, the second-order linear and the nonlinear Euler-Lagrange agents. First, we design a leader-following consensus control protocol with the active leader for multi-agent systems where the followers cannot obtain the velocity measurements. Then, according to the actual situation, the actuator saturation problem is solved as the special practical nonlinear problem by designing the actuator nonlinear consensus protocol. Based on Graph theory, Lyapunov theory and Barbalat's Lemma, the effectiveness of controller is proved with a second-order dynamic of the leader under the undirected communication topological graph. Some simulation examples verify the validity of the conclusion.
{"title":"Leader-Following Consensus Control for Complex Heterogeneous Multi-Agent Systems Without Velocity Measurements","authors":"Jiaxiang Zhang, Qing Fei, Bo Wang, Qingbo Geng","doi":"10.23919/CHICC.2018.8483145","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8483145","url":null,"abstract":"This paper considers a leader-following consensus problem for complex heterogeneous multi-agent systems composed of the first-order linear, the second-order linear and the nonlinear Euler-Lagrange agents. First, we design a leader-following consensus control protocol with the active leader for multi-agent systems where the followers cannot obtain the velocity measurements. Then, according to the actual situation, the actuator saturation problem is solved as the special practical nonlinear problem by designing the actuator nonlinear consensus protocol. Based on Graph theory, Lyapunov theory and Barbalat's Lemma, the effectiveness of controller is proved with a second-order dynamic of the leader under the undirected communication topological graph. Some simulation examples verify the validity of the conclusion.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"482 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123258129","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 : 2018-07-01DOI: 10.23919/CHICC.2018.8482880
Huang Jinjie, Lei Ming, Lu Chao, Yuan Qingyuan
The main purpose of speech signal recognition system research is to improve the recognition rate of speech signal and reduce the recognition time. The feature extraction of speech signal in the process of recognition is one of the key aspects. In this paper, the speech feature extraction is to use the auditory characteristics of the human ear to decompose the wavelet packet into five levels and extract the dynamic features contained in the frame signal. After further processing, the speech feature parameters (DWPT parameters) are obtained. Simulation shows that the speaker recognition rate has been significantly improved compared with other traditional methods.
{"title":"Voiceprint Feature Extraction Based on Wavelet Packet Decomposition","authors":"Huang Jinjie, Lei Ming, Lu Chao, Yuan Qingyuan","doi":"10.23919/CHICC.2018.8482880","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8482880","url":null,"abstract":"The main purpose of speech signal recognition system research is to improve the recognition rate of speech signal and reduce the recognition time. The feature extraction of speech signal in the process of recognition is one of the key aspects. In this paper, the speech feature extraction is to use the auditory characteristics of the human ear to decompose the wavelet packet into five levels and extract the dynamic features contained in the frame signal. After further processing, the speech feature parameters (DWPT parameters) are obtained. Simulation shows that the speaker recognition rate has been significantly improved compared with other traditional methods.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125311967","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 : 2018-07-01DOI: 10.23919/CHICC.2018.8483972
Yuqing Li, Kailin Zhang, Yingtao Zhu
The quality of welding seam has been an obstacle of automatic and efficient production. Among them, speed of the welding trolley is an important factor affecting the quality of welding. In this paper, the fuzzy control of the welding trolley is adopted to make the driving of the trolley more stable and reduce the interference caused by the startup and stop of the motor, frictional force change of the ball screw, change of resistance in the walking process and the like. Speed change can be traced and its effect on the welding quality tends to be minimized, enabling the automation of the mill's production to be further improved. Since this project is based on the modification of the old B & R positioning system for the laser welding machine in pickling section of the cold rolling mill, Siemens S7-300 PLC program is used instead of the original B & R positioning system for position control in this project. Fuzzy control of welding trolley speed is applied to Siemens PLC program in order to realize its function and carry out corresponding research in this paper.
{"title":"Fuzzy Control of Welding Trolley Speed Based on PLC","authors":"Yuqing Li, Kailin Zhang, Yingtao Zhu","doi":"10.23919/CHICC.2018.8483972","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8483972","url":null,"abstract":"The quality of welding seam has been an obstacle of automatic and efficient production. Among them, speed of the welding trolley is an important factor affecting the quality of welding. In this paper, the fuzzy control of the welding trolley is adopted to make the driving of the trolley more stable and reduce the interference caused by the startup and stop of the motor, frictional force change of the ball screw, change of resistance in the walking process and the like. Speed change can be traced and its effect on the welding quality tends to be minimized, enabling the automation of the mill's production to be further improved. Since this project is based on the modification of the old B & R positioning system for the laser welding machine in pickling section of the cold rolling mill, Siemens S7-300 PLC program is used instead of the original B & R positioning system for position control in this project. Fuzzy control of welding trolley speed is applied to Siemens PLC program in order to realize its function and carry out corresponding research in this paper.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125385220","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 : 2018-07-01DOI: 10.23919/CHICC.2018.8483261
Xiaorui Zhou, B. Ma, Lixia Yan
This work addresses the trajectory tracking control problem of wheeled mobile robot without orientation measurement. We propose a new adaptive output feedback tracking controller, which estimate the unknown orientation and guarantees that the position tracking error converge to zero, while the orientation estimated error tends to zero under mild exciting conditions of the desired trajectory. Compared with previous works, the convergence of the position tracking error is independent on the convergence of the orientation estimation error. Moreover, the velocity of the desired trajectory is just required not vanishing. Numerical simulations are presented to verify the effectiveness of the proposed controller.
{"title":"Adaptive Output Feedback Tracking Controller for Wheeled Mobile Robots with Unmeasurable Orientation","authors":"Xiaorui Zhou, B. Ma, Lixia Yan","doi":"10.23919/CHICC.2018.8483261","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8483261","url":null,"abstract":"This work addresses the trajectory tracking control problem of wheeled mobile robot without orientation measurement. We propose a new adaptive output feedback tracking controller, which estimate the unknown orientation and guarantees that the position tracking error converge to zero, while the orientation estimated error tends to zero under mild exciting conditions of the desired trajectory. Compared with previous works, the convergence of the position tracking error is independent on the convergence of the orientation estimation error. Moreover, the velocity of the desired trajectory is just required not vanishing. Numerical simulations are presented to verify the effectiveness of the proposed controller.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126851014","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 : 2018-07-01DOI: 10.23919/CHICC.2018.8483544
Weiming Wu, Cong Wang, C. Yuan
In this paper, our main concern is to establish new exponential stability-based identification results for a class of Euler nonlinear sampled-data systems using deterministic learning. At first, a new deterministic learning law is designed based on the Lyapunov function method. Rigorous analysis is provided to show that the resulting closed-loop linear time-varying (LTV) systems (containing tracking errors and parameter estimation errors) is exponentially stable. All the states of the closed-loop system converge to a small neighborhood around the origin exponentially. Thus, locally-accurate identification performance can be achieved under the new deterministic learning algorithm. Finally, simulation results on Duffing oscillator system are given to show the effectiveness of the proposed method.
{"title":"New Results on Deterministic Learning of Sampled-Data Nonlinear Systems","authors":"Weiming Wu, Cong Wang, C. Yuan","doi":"10.23919/CHICC.2018.8483544","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8483544","url":null,"abstract":"In this paper, our main concern is to establish new exponential stability-based identification results for a class of Euler nonlinear sampled-data systems using deterministic learning. At first, a new deterministic learning law is designed based on the Lyapunov function method. Rigorous analysis is provided to show that the resulting closed-loop linear time-varying (LTV) systems (containing tracking errors and parameter estimation errors) is exponentially stable. All the states of the closed-loop system converge to a small neighborhood around the origin exponentially. Thus, locally-accurate identification performance can be achieved under the new deterministic learning algorithm. Finally, simulation results on Duffing oscillator system are given to show the effectiveness of the proposed method.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126858639","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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