High-precision positioning of PCB Mark plays an important role in the production of PCB. This paper proposes a high-accuracy method to recognize and locate the defective circular PCB Mark. Firstly, the template matching is used to extract the interested Mark region. And then Canny operator which has good noise resistance is used to detect the edges of the Mark. On the basis of angle features analysis of each small edge, the regular and similar edges are retained and the deformed or noisy edges are removed, which is the key process to reduce the influence of the defective edges. After that, the retained edges are used to fit an ellipse by least square method. Finally, the sub-pixel edge points near the ellipse are used to fit an ellipse again more accurately. The experimental results indicate that the positioning error of our method is small. And when processing the deformed or noisy Mark images, our method is robust and can achieve better results than Hough transform and the least square fitting based on sub-pixel edge points.
{"title":"Accurate Localization of Defective Circular PCB Mark Based on Sub-Pixel Edge Detection and Least Square Fitting","authors":"Zhen Wu, Fan Chen, Guoyuan Liang, Yimin Zhou, Xinyu Wu, Wei Feng","doi":"10.1109/DDCLS.2019.8909052","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8909052","url":null,"abstract":"High-precision positioning of PCB Mark plays an important role in the production of PCB. This paper proposes a high-accuracy method to recognize and locate the defective circular PCB Mark. Firstly, the template matching is used to extract the interested Mark region. And then Canny operator which has good noise resistance is used to detect the edges of the Mark. On the basis of angle features analysis of each small edge, the regular and similar edges are retained and the deformed or noisy edges are removed, which is the key process to reduce the influence of the defective edges. After that, the retained edges are used to fit an ellipse by least square method. Finally, the sub-pixel edge points near the ellipse are used to fit an ellipse again more accurately. The experimental results indicate that the positioning error of our method is small. And when processing the deformed or noisy Mark images, our method is robust and can achieve better results than Hough transform and the least square fitting based on sub-pixel edge points.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"47 1","pages":"465-470"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78768780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-05-01DOI: 10.1109/DDCLS.2019.8908955
Yufeng Tian, Zhanshan Wang
This paper focuses on the $H_{infty}$ control problem of singular Markovian jump delay systems with mode-dependent derivative-term coefficient through an extended decomposition system. By computing a proper Lyapunov functional, a generally stochastic stability condition of singular Markovian jump systems is achieved. On this basis, a delay-dependent stabilization condition of considered system is derived in terms of tractable linear matrix inequalities (LMIs), and the $H_{infty}$ controller gains are directly designed. Two numerical examples are introduced to illustrate the effectiveness of the proposed results.
{"title":"$H_{infty}$ Control for Singular Markovian Jump Delay Systems with Mode-Dependent Derivative-Term Coefficient","authors":"Yufeng Tian, Zhanshan Wang","doi":"10.1109/DDCLS.2019.8908955","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8908955","url":null,"abstract":"This paper focuses on the $H_{infty}$ control problem of singular Markovian jump delay systems with mode-dependent derivative-term coefficient through an extended decomposition system. By computing a proper Lyapunov functional, a generally stochastic stability condition of singular Markovian jump systems is achieved. On this basis, a delay-dependent stabilization condition of considered system is derived in terms of tractable linear matrix inequalities (LMIs), and the $H_{infty}$ controller gains are directly designed. Two numerical examples are introduced to illustrate the effectiveness of the proposed results.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"11 1","pages":"426-431"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90049867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-05-01DOI: 10.1109/DDCLS.2019.8909028
Xiaojing Song, Sen Chen, Wenchao Xue
This paper studies the control problem for a class of nonaffine uncertain systems with unknown saturation. The system model is built to describe many physical plants satisfying generalized saturation model of control input. The inflection point of the saturation model, which is critical for conventional controller design, is assumed to be unknown in this paper. The extended state observer is constructed to not only online estimate the “total disturbance” but also identify the inflection point. The simulation results on the typical aircraft flight control module show the effectiveness of the proposed controller.
{"title":"On Extended State Observer Based Control for A class of Nonaffine Systems with Unknown Saturation","authors":"Xiaojing Song, Sen Chen, Wenchao Xue","doi":"10.1109/DDCLS.2019.8909028","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8909028","url":null,"abstract":"This paper studies the control problem for a class of nonaffine uncertain systems with unknown saturation. The system model is built to describe many physical plants satisfying generalized saturation model of control input. The inflection point of the saturation model, which is critical for conventional controller design, is assumed to be unknown in this paper. The extended state observer is constructed to not only online estimate the “total disturbance” but also identify the inflection point. The simulation results on the typical aircraft flight control module show the effectiveness of the proposed controller.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"17 1","pages":"1171-1176"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90466647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-05-01DOI: 10.1109/DDCLS.2019.8908983
Dan Ye, Jiyan Wang
In this paper, a security issue for Cyber-Physical Systems (CPSs) is considered. We analyse a multi-sensor system equipped with a remote state estimation and a set of detectors. From the perspective of a malicious attacker, one intends to modify the innovation sequence by injecting a Gaussian noise and further destroys the system performance. The state estimation error covariance recursion are derived to quantify the effect of an attack. Furthermore, we study the worst-case false data injection (FDI) attack scenario, where the maximal attack probability is limited by the threshold of Kullback-Leibler divergence detector. Finally, a numerical example is shown to demonstrate the effectiveness of the worst-case FDI attack.
{"title":"False Data Injection Attack Design in Multi-sensor Systems Based on KL Divergence Theory","authors":"Dan Ye, Jiyan Wang","doi":"10.1109/DDCLS.2019.8908983","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8908983","url":null,"abstract":"In this paper, a security issue for Cyber-Physical Systems (CPSs) is considered. We analyse a multi-sensor system equipped with a remote state estimation and a set of detectors. From the perspective of a malicious attacker, one intends to modify the innovation sequence by injecting a Gaussian noise and further destroys the system performance. The state estimation error covariance recursion are derived to quantify the effect of an attack. Furthermore, we study the worst-case false data injection (FDI) attack scenario, where the maximal attack probability is limited by the threshold of Kullback-Leibler divergence detector. Finally, a numerical example is shown to demonstrate the effectiveness of the worst-case FDI attack.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"10 1","pages":"333-337"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86543132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-05-01DOI: 10.1109/DDCLS.2019.8908989
Jun Bao, Bo Ye, Weiquan Deng, Jiande Wu, Xiaodong Wang
Due to the complicated industrial environment and the poor surface conditions of detected materials, scanning images inevitably contain various noise in actual eddy current imaging detection, which seriously affects the detection result. Aiming at the above problem, we propose an eddy current scanning image denoising method based on principal component analysis (PCA) and locally linear embedding (LLE) in this paper. First, the method uses PCA to preliminarily remove noise from the scanning image. Then, the method uses the reconstruction algorithm of LLE to reconstruct the PCA-processed image by its neighborhoods, which further denoise the eddy current scanning image and optimize their details and edges while retaining their local geometric constructions. The experimental results have shown that, compared with other methods, the proposed method not only removes noise more effectively but also retains the details of the scanning image.
{"title":"Eddy Current Scanning Image Denoising Method Based on Principal Component Analysis and Manifold Learning","authors":"Jun Bao, Bo Ye, Weiquan Deng, Jiande Wu, Xiaodong Wang","doi":"10.1109/DDCLS.2019.8908989","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8908989","url":null,"abstract":"Due to the complicated industrial environment and the poor surface conditions of detected materials, scanning images inevitably contain various noise in actual eddy current imaging detection, which seriously affects the detection result. Aiming at the above problem, we propose an eddy current scanning image denoising method based on principal component analysis (PCA) and locally linear embedding (LLE) in this paper. First, the method uses PCA to preliminarily remove noise from the scanning image. Then, the method uses the reconstruction algorithm of LLE to reconstruct the PCA-processed image by its neighborhoods, which further denoise the eddy current scanning image and optimize their details and edges while retaining their local geometric constructions. The experimental results have shown that, compared with other methods, the proposed method not only removes noise more effectively but also retains the details of the scanning image.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"13 1","pages":"563-567"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85928030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-05-01DOI: 10.1109/DDCLS.2019.8908997
Jiaqing Yan, Zhanying Li, Peng Shao, Qi Chen
In recent years, the queuing equilibrium research based on traditional detector data is limited by the influence of data loss, resulting in inaccurate arrival rate and dissipation rate of the obtained vehicles. Based on this problem, this paper proposes a method of using the vehicle trajectory characteristics in the floating car data without calculating the arrival rate. Firstly, the genetic algorithm is used to find the optimal queuing intensity sequence. Then, by the relationship between the queue length and the green time, the green time of each phase is adjusted in real time, and the queue length equalization is realized, which effectively reduces the green light loss time. Through VISSIM simulation verification, the queuing delay and queuing intensity of each phase are reduced.
{"title":"Queuing Equilibrium Control of Urban Intersection Based on Floating Car Data","authors":"Jiaqing Yan, Zhanying Li, Peng Shao, Qi Chen","doi":"10.1109/DDCLS.2019.8908997","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8908997","url":null,"abstract":"In recent years, the queuing equilibrium research based on traditional detector data is limited by the influence of data loss, resulting in inaccurate arrival rate and dissipation rate of the obtained vehicles. Based on this problem, this paper proposes a method of using the vehicle trajectory characteristics in the floating car data without calculating the arrival rate. Firstly, the genetic algorithm is used to find the optimal queuing intensity sequence. Then, by the relationship between the queue length and the green time, the green time of each phase is adjusted in real time, and the queue length equalization is realized, which effectively reduces the green light loss time. Through VISSIM simulation verification, the queuing delay and queuing intensity of each phase are reduced.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"1 1","pages":"1400-1404"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87454637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-05-01DOI: 10.1109/DDCLS.2019.8908839
Liuqing Yang, Jiwei Liu
Emotion recognition based on physiological signal can be used in many applications such as, intelligent human-computer interface design, emotional disorder diagnoses. For traditional approaches, the prior knowledge is required to design and extract a range of features from physiological signal. The generalization ability of traditional methods is poor because of the lack of high-level features. Using deep-learning methodologies to analyze physiological signal, i.e. eeg, becomes increasingly attractive for recognizing emotions. In this paper, we design a sequence model based on deep-learning that uses Temporal Convolutional Network(TCN) to extract high-level features in consideration of the time dependence of physiological signals for EEG emotion recognition. Specifically, we extract the differential entropy feature in seconds and construct a time series with fixed-length time window data as the input to TCN, and then using softmax to classify. Furthermore, in order to get reliable results, we divide the samples according to the trials, avoiding the testing set samples and training set samples from the same trial. Specifically, we first divide the samples according to the trials as the testing set and the training set, and then segment the trials in the testing set and training set with fixed time window length to obtain more samples respectively. To evaluate the performance of the proposed model, we conduct the emotion classification experiments on DEAP database. The experimental results show the effectiveness of our proposed model for EEG emotion recognition.
{"title":"EEG-Based Emotion Recognition Using Temporal Convolutional Network","authors":"Liuqing Yang, Jiwei Liu","doi":"10.1109/DDCLS.2019.8908839","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8908839","url":null,"abstract":"Emotion recognition based on physiological signal can be used in many applications such as, intelligent human-computer interface design, emotional disorder diagnoses. For traditional approaches, the prior knowledge is required to design and extract a range of features from physiological signal. The generalization ability of traditional methods is poor because of the lack of high-level features. Using deep-learning methodologies to analyze physiological signal, i.e. eeg, becomes increasingly attractive for recognizing emotions. In this paper, we design a sequence model based on deep-learning that uses Temporal Convolutional Network(TCN) to extract high-level features in consideration of the time dependence of physiological signals for EEG emotion recognition. Specifically, we extract the differential entropy feature in seconds and construct a time series with fixed-length time window data as the input to TCN, and then using softmax to classify. Furthermore, in order to get reliable results, we divide the samples according to the trials, avoiding the testing set samples and training set samples from the same trial. Specifically, we first divide the samples according to the trials as the testing set and the training set, and then segment the trials in the testing set and training set with fixed time window length to obtain more samples respectively. To evaluate the performance of the proposed model, we conduct the emotion classification experiments on DEAP database. The experimental results show the effectiveness of our proposed model for EEG emotion recognition.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"4 2 1","pages":"437-442"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80034084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-05-01DOI: 10.1109/DDCLS.2019.8909083
Li Zhang, Zonggang Li, Pu Gao
We investigate the circle surrounding control problem of multiple targets, in which communication topology is undirected and connected. First of all, an estimator is given for each agent to obtain the geometric center of multiple targets in a finite time. Combined with such an estimator, a distributed controller is presented such that all agents can achieve a circular formation and rotate around the geometric center of multiple targets. Meanwhile, agents enclose all targets. Especially, the position of each agent in circular formation can be arbitrary arranged by adjusting the time-varying coefficients. Simulations demonstrate the correctness of the estimator and the surrounding control protocol.
{"title":"Finite-Time Surrounding Control of Multi-Agent Systems with Multiple Targets","authors":"Li Zhang, Zonggang Li, Pu Gao","doi":"10.1109/DDCLS.2019.8909083","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8909083","url":null,"abstract":"We investigate the circle surrounding control problem of multiple targets, in which communication topology is undirected and connected. First of all, an estimator is given for each agent to obtain the geometric center of multiple targets in a finite time. Combined with such an estimator, a distributed controller is presented such that all agents can achieve a circular formation and rotate around the geometric center of multiple targets. Meanwhile, agents enclose all targets. Especially, the position of each agent in circular formation can be arbitrary arranged by adjusting the time-varying coefficients. Simulations demonstrate the correctness of the estimator and the surrounding control protocol.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"41 1","pages":"231-236"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73003486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-05-01DOI: 10.1109/DDCLS.2019.8909006
Qiuhui Ma, Yan Wang, Weidong Yang, Bo Tao, Ying Zheng
Lithium-ion batteriesare widely used in our daily life. However, with the frequent use of lithium battery, the performance of lithium battery decreases due to the change of internal physical properties. The most intuitive result is that the capacity gradually decreases with the use of the battery. Therefore, timely and effective prediction of lithium-ion battery remaining useful life (RUL) is particularly important. In this paper, two new health indexes (HI), namely, discharging time difference of equal voltage interval (DtD_EVI) and discharging temperature difference of equal time interval (DTD_EtI), are proposed to represent the degradation process of lithium battery. Pearson correlation coefficient is used to analyze the relationship between these two health indexes and capacity, and then support vector regression (SVR) is used to establish the RUL regression model. Finally, the validity of the proposed method is verified by analyzing the lithium battery dataset of NASA.
{"title":"A Novel Health Index for Battery RUL Degradation Modeling and Prognostics","authors":"Qiuhui Ma, Yan Wang, Weidong Yang, Bo Tao, Ying Zheng","doi":"10.1109/DDCLS.2019.8909006","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8909006","url":null,"abstract":"Lithium-ion batteriesare widely used in our daily life. However, with the frequent use of lithium battery, the performance of lithium battery decreases due to the change of internal physical properties. The most intuitive result is that the capacity gradually decreases with the use of the battery. Therefore, timely and effective prediction of lithium-ion battery remaining useful life (RUL) is particularly important. In this paper, two new health indexes (HI), namely, discharging time difference of equal voltage interval (DtD_EVI) and discharging temperature difference of equal time interval (DTD_EtI), are proposed to represent the degradation process of lithium battery. Pearson correlation coefficient is used to analyze the relationship between these two health indexes and capacity, and then support vector regression (SVR) is used to establish the RUL regression model. Finally, the validity of the proposed method is verified by analyzing the lithium battery dataset of NASA.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"255 1","pages":"1077-1081"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73344383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-05-01DOI: 10.1109/DDCLS.2019.8908919
Yaru Zheng, Jinfeng Zhou, Ming Xu
This paper studies configuration design, relative navigation and control of non-cooperative flying-around mission $J_{4}$-perturbed elliptic orbit. $J_{2}$-perturbation is generally considered in most circumstances of satellites around the Earth, while the relative motion is under $J_{4}$-pertuabation to achieve more precise results. The key problem of flying-around mission is orbital control, a more general method is established which considers remote maneuvers, reconfiguration, flying-around and escape. Based on the orbital control in the paper, the initial conditions of object and tracking satellite are as appropriate but not unique. The Extended Kalman Filter is introduced to enhance the robustness of relative navigation system in cases of noises and errors caused by the measurements. With the introduce of Extended Kalman Filter in relative navigation and $J_{4}$ perturbation in relative motion, simulation results of the flying-around mission configuration design are more persuasive.
{"title":"Non-Cooperative Flying-around Mission:Configuration Design, Relative Navigation and Control","authors":"Yaru Zheng, Jinfeng Zhou, Ming Xu","doi":"10.1109/DDCLS.2019.8908919","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8908919","url":null,"abstract":"This paper studies configuration design, relative navigation and control of non-cooperative flying-around mission $J_{4}$-perturbed elliptic orbit. $J_{2}$-perturbation is generally considered in most circumstances of satellites around the Earth, while the relative motion is under $J_{4}$-pertuabation to achieve more precise results. The key problem of flying-around mission is orbital control, a more general method is established which considers remote maneuvers, reconfiguration, flying-around and escape. Based on the orbital control in the paper, the initial conditions of object and tracking satellite are as appropriate but not unique. The Extended Kalman Filter is introduced to enhance the robustness of relative navigation system in cases of noises and errors caused by the measurements. With the introduce of Extended Kalman Filter in relative navigation and $J_{4}$ perturbation in relative motion, simulation results of the flying-around mission configuration design are more persuasive.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"74 11 1","pages":"1346-1350"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77513237","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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