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2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS)最新文献

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State of Charge Estimation for Lithium-ion Batteries Based on Adaptive Fractional Extended Kalman Filter 基于自适应分数阶扩展卡尔曼滤波的锂离子电池充电状态估计
2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2020-11-20 DOI: 10.1109/DDCLS49620.2020.9275036
Shizhong Li, Yan Li, Yue Sun, Daduan Zhao, Chenghui Zhang
{"title":"State of Charge Estimation for Lithium-ion Batteries Based on Adaptive Fractional Extended Kalman Filter","authors":"Shizhong Li, Yan Li, Yue Sun, Daduan Zhao, Chenghui Zhang","doi":"10.1109/DDCLS49620.2020.9275036","DOIUrl":"https://doi.org/10.1109/DDCLS49620.2020.9275036","url":null,"abstract":"Battery state of charge (SOC) estimation is crucial for battery management systems to ensure the reliability and safety of electric vehicles. To achieve accurate SOC estimation, the fractional-order model which can accurately describe the diffusion and polarization of batteries is established and parameterized by particle swarm optimization firstly. Then, the Kalman filter method that can realize optimal estimation of systems is combined with fractional calculus by utilizing fractional state function. Consequently, the fractional extended Kalman filter (FEKF) is built up, in which an adaptive variance update algorithm is adopted to improve the convergence speed and robustness. Finally, the proposed algorithms are applied to two dynamic working conditions and the experimental results indicate that the adaptive FEKF is efficient and accurate in SOC estimation.","PeriodicalId":420469,"journal":{"name":"2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128395567","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
Iterative Learning Control for Multiple Time-Delays Discrete Systems in Finite Frequency Domain 有限频域多时滞离散系统的迭代学习控制
2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2020-11-20 DOI: 10.1109/DDCLS49620.2020.9275244
Xiaohui Li, Jianqiang Shen, Hongfeng Tao, Shoulin Hao
{"title":"Iterative Learning Control for Multiple Time-Delays Discrete Systems in Finite Frequency Domain","authors":"Xiaohui Li, Jianqiang Shen, Hongfeng Tao, Shoulin Hao","doi":"10.1109/DDCLS49620.2020.9275244","DOIUrl":"https://doi.org/10.1109/DDCLS49620.2020.9275244","url":null,"abstract":"This paper developes iterative learning control scheme and the stability conditions for multiple time-delays discrete system. By formulating the problem over repetitive process form using 2D theory, sufficient stability conditions for multiple time-delays discrete system are developed along the trial, which guarantees the trial-to-trial error monotonic convergence. Moreover, the generalized Kalman-Yakubovich-Popov (KYP) lemma allows the iterative learning control scheme to develope stability conditions with LMI constraints and analyze in the finite frequency domain. A numerical simulation for multiple time-delays discrete system is given to verify the proposed method.","PeriodicalId":420469,"journal":{"name":"2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129158921","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
Design of Spatial Repetitive Controller with Fractional FIR Filter 分数阶FIR滤波器空间重复控制器的设计
2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2020-11-20 DOI: 10.1109/DDCLS49620.2020.9275165
Bo Wang, Xin Huo, Lu Xu, Zimo Xu
{"title":"Design of Spatial Repetitive Controller with Fractional FIR Filter","authors":"Bo Wang, Xin Huo, Lu Xu, Zimo Xu","doi":"10.1109/DDCLS49620.2020.9275165","DOIUrl":"https://doi.org/10.1109/DDCLS49620.2020.9275165","url":null,"abstract":"Rate turnable is a high precision position servo system. Due to the existence of spatially periodic disturbances, the control accuracy and riding quality of rate turnable are affected. In this paper, the spatial repetitive controller is introduced to reject spatially periodic disturbances. Spatially periodic disturbances of rate turnable system are analyzed. Traditional repetitive controller is talked about and the design method of fractional FIR filter based on window function is given. Based on these, repetitive controller design method of fractional FIR filter based on window function is proposed. However, the speed changes in systems, the period of disturbances also changes. For this problem, the spatial repetitive controller with fractional FIR filter is presented. The simulation results are made to illustrate the effectiveness of the spatial repetitive controller.","PeriodicalId":420469,"journal":{"name":"2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126773299","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
Design and Implementation of the PI-type Active Disturbance Rejection Generalized Predictive Control pi型自抗扰广义预测控制的设计与实现
2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2020-11-20 DOI: 10.1109/DDCLS49620.2020.9275183
Jia Ren, Zengqiang Chen, Mingwei Sun, Qinglin Sun
{"title":"Design and Implementation of the PI-type Active Disturbance Rejection Generalized Predictive Control","authors":"Jia Ren, Zengqiang Chen, Mingwei Sun, Qinglin Sun","doi":"10.1109/DDCLS49620.2020.9275183","DOIUrl":"https://doi.org/10.1109/DDCLS49620.2020.9275183","url":null,"abstract":"In order to overcome the limitations of the Active Disturbance Rejection Control (ADRC) algorithm in large time-delay systems, and the shortcomings of the online calculation of the PI-type Generalized Predictive Control (PI-GPC) algorithm. This paper presents a PI-type Active Disturbance Rejection Generalized Predictive Control (PI-ADRGPC) algorithm. Simulation analysis is also carried out for linear systems, nonlinear systems and large time-delay systems. The analysis results show that the proposed algorithm has better dynamic performance and stronger disturbance rejection ability than the traditional ADRC and ADRC-GPC algorithm.","PeriodicalId":420469,"journal":{"name":"2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123481727","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: 2
Evaluation and Analysis of Comprehensive Influence of Papers: Multidisciplinary as an Example 论文综合影响力评价与分析:以多学科为例
2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2020-11-20 DOI: 10.1109/DDCLS49620.2020.9275263
Yangyang Jiang, Bo-Ra Jin
{"title":"Evaluation and Analysis of Comprehensive Influence of Papers: Multidisciplinary as an Example","authors":"Yangyang Jiang, Bo-Ra Jin","doi":"10.1109/DDCLS49620.2020.9275263","DOIUrl":"https://doi.org/10.1109/DDCLS49620.2020.9275263","url":null,"abstract":"By introducing supplementary evaluation indexes, this paper makes up for the deficiencies of lag, injustice, discipline bias, and one-sidedness of traditional citation evaluation. Multidisciplinary papers are selected as the data source. Correlation analysis, validity analysis, factor analysis, and principal component analysis are used to analyze the data of each index to construct a comprehensive influence evaluation model. The results show that the model is a comprehensive evaluation model with academic evaluation as the main and social evaluation as the auxiliary. The comprehensive influence score of papers can be calculated through comprehensive influence formulas, to obtain a more comprehensive and reasonable evaluation result. This paper provides data support for the proportion of each index data in the comprehensive evaluation of academic papers, and also provides a reference for index selection and evaluation model optimization of comprehensive influence evaluation of papers.","PeriodicalId":420469,"journal":{"name":"2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114102189","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: 2
Finite-time Annular Domain Stabilization for Nonlinear Systems in Strict-feedback Form 严格反馈非线性系统的有限时间环域镇定
2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2020-11-20 DOI: 10.1109/DDCLS49620.2020.9275273
Zhiguo Yan, Dongkang Ji, Guolin Hu, Mingjun Du, Xiaoping Liu
{"title":"Finite-time Annular Domain Stabilization for Nonlinear Systems in Strict-feedback Form","authors":"Zhiguo Yan, Dongkang Ji, Guolin Hu, Mingjun Du, Xiaoping Liu","doi":"10.1109/DDCLS49620.2020.9275273","DOIUrl":"https://doi.org/10.1109/DDCLS49620.2020.9275273","url":null,"abstract":"The problem of finite-time annular domain stabilization for nonlinear systems in strict-feedback form is considered in this paper. Firstly, a definition of finite-time annular domain stability for nonlinear systems is given and also some practical explanation is presented. Secondly, a back-stepping design approach is proposed and a sufficient condition for the existence of finite-time annular domain stabilization controller is given. Finally, a detailed example is used to show back-stepping design approach superiority to linear matrix inequality approach.","PeriodicalId":420469,"journal":{"name":"2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121466773","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
Robust Adaptive Control of A Disturbed Chua’s Circuit with Circuit Implementation 扰动蔡氏电路的鲁棒自适应控制及电路实现
2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2020-11-20 DOI: 10.1109/DDCLS49620.2020.9275207
Chengcheng Jiang, Xiao‐Zheng Jin
{"title":"Robust Adaptive Control of A Disturbed Chua’s Circuit with Circuit Implementation","authors":"Chengcheng Jiang, Xiao‐Zheng Jin","doi":"10.1109/DDCLS49620.2020.9275207","DOIUrl":"https://doi.org/10.1109/DDCLS49620.2020.9275207","url":null,"abstract":"In this paper, a circuit implementation scheme is designed for the adaptive algorithm applied to the disturbed Chua’s circuit system. Firstly, in order to effectively suppress the adverse effects of unknown disturbances on the system, the input of the system is designed by using the method of adaptive parameter adjustment. Then, the asymptotic stability of the ADRC system is proved by lyapunov theorem. Besides, the pure circuit implementation scheme of the control algorithm is given by using the combination of some basic analog components. Finally, the software Multisim is used to do the circuit simulation experiments, and the experiment results show that the circuit design scheme of the algorithm is correct.","PeriodicalId":420469,"journal":{"name":"2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124468635","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
A Spatial-information-based Semi-supervised Soft Sensor for f-CaO Content Prediction in Cement Industry 基于空间信息的半监督软传感器在水泥工业中f-CaO含量预测中的应用
2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2020-11-20 DOI: 10.1109/DDCLS49620.2020.9275121
Xiaoyu Jiang, Le Yao, Gaopan Huang, Jinchuan Qian, Bingbing Shen, Lu Xu, Zhiqiang Ge
{"title":"A Spatial-information-based Semi-supervised Soft Sensor for f-CaO Content Prediction in Cement Industry","authors":"Xiaoyu Jiang, Le Yao, Gaopan Huang, Jinchuan Qian, Bingbing Shen, Lu Xu, Zhiqiang Ge","doi":"10.1109/DDCLS49620.2020.9275121","DOIUrl":"https://doi.org/10.1109/DDCLS49620.2020.9275121","url":null,"abstract":"f-CaO is a key factor affecting the quality of cement in production. In this paper, the cement clink production process is introduced and discussed in detail. The time delay between the variables leads to an inaccurate matching relationship with each other and defects the performance of traditional soft sensors. To this end, a semi-supervised spatial-information-based soft sensor for f-CaO content is proposed. First, we analyzed the relationship between process variables and quality variable and then reconstruct the input of samples into data matrix by stitching unlabeled process data together. The semi-supervised structure helps retain process information in the data. Then, an end-to-end soft sensor based on CNN is established: convolution and pooling operations are used to extract the features of two-dimensional data containing spatial information; a multi-layer perceptron models the extracted features regressively. Further, in order to solve the defect of insufficient generalization ability of the CNN-based model, a framework for spatial feature extracting and transferring is proposed. Compared with the multilayer perceptron, strong regression models with spatial features get better prediction accuracy. An actual cement production case is used to verify the effectiveness of the proposed method.","PeriodicalId":420469,"journal":{"name":"2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130031021","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: 2
A Novel Attracting-Law based Digital Control Strategy with Improved Convergence Rate and Steady-State Error 一种新的基于吸引律的数字控制策略，提高了收敛速度和稳态误差
2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2020-11-20 DOI: 10.1109/DDCLS49620.2020.9275137
Lingwei Wu, Mingxuan Sun
{"title":"A Novel Attracting-Law based Digital Control Strategy with Improved Convergence Rate and Steady-State Error","authors":"Lingwei Wu, Mingxuan Sun","doi":"10.1109/DDCLS49620.2020.9275137","DOIUrl":"https://doi.org/10.1109/DDCLS49620.2020.9275137","url":null,"abstract":"In this paper, a novel attracting law with improved convergence rate and steady-state error band is presented for uncertain discrete-time systems, which applies the tracking error itself for the control design. The attracting law is designed based on the monotone increasing continuous function taking its value between 0 and 1 for the absolute value of the tracking error. The disturbance compensation is introduced in the attracting law, by which the controller is designed to ensure faster convergence and better robust stability of the closed-loop system. For characterizing the tracking performance, detailed results of both the absolute attractive layer bound and the steady-state error band are given. The validity of the proposed approach is confirmed by simulation results.","PeriodicalId":420469,"journal":{"name":"2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130406025","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
Multi-label Disease Diagnosis Based on Unbalanced ECG Data 基于不平衡心电数据的多标签疾病诊断
2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2020-11-20 DOI: 10.1109/DDCLS49620.2020.9275099
Peishan Rong, Tao Luo, Jianfeng Li, Kai Li
{"title":"Multi-label Disease Diagnosis Based on Unbalanced ECG Data","authors":"Peishan Rong, Tao Luo, Jianfeng Li, Kai Li","doi":"10.1109/DDCLS49620.2020.9275099","DOIUrl":"https://doi.org/10.1109/DDCLS49620.2020.9275099","url":null,"abstract":"With the improvement of living standards, heart diseases have become one of the common diseases that threaten health of human beings. Electrocardiogram (ECG) is an important basis for diagnosing heart diseases. In this paper, we propose a model to predict 55 classes of heart diseases simultaneously, that is, to solve a multi-label classification task. In order to make full use of the characteristics of the ECG, we propose a network structure combining residual neural network (ResNet) and gated recurrent unit neural network (GRU). On this basis, in order to solve the problem of imbalanced data set, the loss function is a improved focal loss. The results of experiments show the effectiveness of our method. More specifically, the method improves F1 score, while the hamming loss is reduced. Observing the classify result of each single class, we improve F1 score and average area under the receiver operating characteristic curve (AUC) for most classes.","PeriodicalId":420469,"journal":{"name":"2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132780720","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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