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2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)最新文献

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A New Method to Detect the License Plate in Dynamic Scene 动态场景中车牌检测的一种新方法
2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2018-05-01 DOI: 10.1109/DDCLS.2018.8516012
Chunliang Zhao, Yuanyuan Hao, Shulin Sui, Shujiao Sui
{"title":"A New Method to Detect the License Plate in Dynamic Scene","authors":"Chunliang Zhao, Yuanyuan Hao, Shulin Sui, Shujiao Sui","doi":"10.1109/DDCLS.2018.8516012","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8516012","url":null,"abstract":"License plate detection includes license plate positioning, segmentation characters, character recognition. The recognition rate of license plates under dynamic scenes is affected by many factors. Each process deviation may affect the overall system recognition rate, and the accuracy of each part is affected by many factors, in order to reduce this error, we combine the advantages of a variety of algorithms to propose a comprehensive detection model. In the license plate positioning phase, we propose HSV space and morphological methods; in the segmentation character phase, we propose the maximum adjacent character horizontal center distance segmentation method; in the character recognition stage, we choose to use the CNN algorithm. In the final simulation test, there are a set of 1 errors in the 30 groups of license plate recognition, the accuracy is higher.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"125 1","pages":"414-419"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91051053","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 Novel Harmonic Detection Algorithm for Electric Vehicle with Charging Piles 一种新型充电桩电动汽车谐波检测算法
2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2018-05-01 DOI: 10.1109/DDCLS.2018.8516082
Yong-long Peng, Jianghao Huang, Yabin Li, Peizhe Liu, Jiuhui Cao
{"title":"A Novel Harmonic Detection Algorithm for Electric Vehicle with Charging Piles","authors":"Yong-long Peng, Jianghao Huang, Yabin Li, Peizhe Liu, Jiuhui Cao","doi":"10.1109/DDCLS.2018.8516082","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8516082","url":null,"abstract":"With the rapid development of electric vehicle, the problems of power quality on charging station have attracted much attention. Due to some traits of the charging station, the harmonic current changes gradually with time. What’s more, the traditional harmonic detection method based on ip−iq algorithm is influenced by the low-pass filter, resulting in the detecting and starting speed are relatively slow, which cannot satisfy the requests of charging station harmonic suppression. On the basis of analyzing the charging generator model based on the six-pulse rectifier, the charging station model of the charging generator based on the six-pulse rectification is established. A novel harmonic current detection algorithm based on adaptive filter of variable step size LMS / LMF algorithm is proposed and its theory is analyzed in detail. Simulation and experiment results show that the improved harmonic detection algorithm has variously improved in terms of the tracking speed and starting speed, which achieves desired effects.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"19 1","pages":"836-840"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82014856","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
Cooperative Adaptive Control for Consensus of Leader-Following General Linear Multi-Agent Systems in Directed Communication Topology 有向通信拓扑下leader - follow一般线性多智能体系统一致性的协同自适应控制
2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2018-05-01 DOI: 10.1109/DDCLS.2018.8515947
Benkai Li, Qinglai Wei, Derong Liu
{"title":"Cooperative Adaptive Control for Consensus of Leader-Following General Linear Multi-Agent Systems in Directed Communication Topology","authors":"Benkai Li, Qinglai Wei, Derong Liu","doi":"10.1109/DDCLS.2018.8515947","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8515947","url":null,"abstract":"This paper investigates the consensus problem for leader-following multi-agent systems with general linear dynamics in directed communication topology. The fixed directed communication topology is considered. To adjust the coupling weights of neighboring agents, an adjacent state feedback protocol with an adaptive law is developed. LaSalle’s invariance principle is used to analyze the stability. The consensus for multi-agent systems under directed communication topology containing a directed spanning tree with the leader as the root can be realized. The design method is based on Riccati inequality as well as algebraic graph theory. Finally, two examples are shown to illustrate the performance of the present controller.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"12 3 1","pages":"27-32"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83411309","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
Quantized Iterative Learning Control for Formation of Multi-agent System 多智能体系统形成的量化迭代学习控制
2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2018-05-01 DOI: 10.1109/DDCLS.2018.8516113
Chenlong Li, Yong Fang, Jialu Zhang
{"title":"Quantized Iterative Learning Control for Formation of Multi-agent System","authors":"Chenlong Li, Yong Fang, Jialu Zhang","doi":"10.1109/DDCLS.2018.8516113","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8516113","url":null,"abstract":"This paper investigates the formation control problem for discrete-time multi-agent systems with switching network topologies and data quantization. It is assumed that the tracking error signals of individual agent are quantized before they are transmitted into the iterative learning controller. However, quantification of data can lead to quantization error, which seriously impacts the performance of multi-agent systems. Based on the nearest neighbor interaction rule, a quantized iterative learning approach is given to overcome the quantization error in the occasion of switching network topologies and guarantee the accurate formation of multi-agent systems simultaneously. Simulation results are provided to verify the effectiveness of the proposed method.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"79 1","pages":"112-116"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83795733","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
Saturated D-type ILC for Multicopter Trajectory Tracking Based on Additive State Decomposition 基于可加性状态分解的饱和d型ILC多机轨迹跟踪
2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2018-05-01 DOI: 10.1109/DDCLS.2018.8516095
Chenxu Ke, Jinrui Ren, Q. Quan
{"title":"Saturated D-type ILC for Multicopter Trajectory Tracking Based on Additive State Decomposition","authors":"Chenxu Ke, Jinrui Ren, Q. Quan","doi":"10.1109/DDCLS.2018.8516095","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8516095","url":null,"abstract":"In this paper, a saturated D-type iterative learning control (ILC) method is proposed for multicopter trajectory tracking based on the additive state decomposition (ASD) method. By using the ASD method, the multicopter nonlinear horizontal channel with input saturation is divided into a linear primary system and a nonlinear secondary system. The ILC method for linear systems can be used directly in the linear primary system to track desired trajectories. A state feedback is applied to stabilize the nonlinear secondary system. Then, the above two controllers are combined to achieve the control goal. Simulation results demonstrate the feasibility of the proposed method for the multicopter trajectory tracking problem with input saturation and other nonlinearities.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"120 1","pages":"1146-1151"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87893495","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
LADRC-Smith Controller Design and Parameters Analysis for First-Order Inertial Systems with Large Time-Delay 大时滞一阶惯性系统的LADRC-Smith控制器设计及参数分析
2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2018-05-01 DOI: 10.1109/DDCLS.2018.8516024
Yongshuai Wang, Zengqiang Chen, Mingwei Sun, Qinglin Sun
{"title":"LADRC-Smith Controller Design and Parameters Analysis for First-Order Inertial Systems with Large Time-Delay","authors":"Yongshuai Wang, Zengqiang Chen, Mingwei Sun, Qinglin Sun","doi":"10.1109/DDCLS.2018.8516024","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8516024","url":null,"abstract":"In the process of modern industrial control, systems with large time-delay are typical problems. Thus in order to get better control effect, it is productive by combining advanced control methods with traditional Smith predictor. The aim of this paper is to present the LADRC(linear active disturbance rejection control)-Smith controller design and parameters analysis for first-order inertial systems with large time-delay, along with the discussion of frequency response and parameters perturbation for systems. To be specific, it is proved that the system is stable when parameters of plant are exactly known. Moreover, a sufficient stable condition is obtained when parameters of plant change. Besides, the step response, stability margin and capability of disturbance rejection are compared when the plant has a different degree of perturbation, and these results make great sense to design the LADRC-Smith controller and regulate parameters for time-delay systems.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"93 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89736773","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
Modeling and Control of Parafoil Systems Based on CFD 基于CFD的伞翼系统建模与控制
2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2018-05-01 DOI: 10.1109/DDCLS.2018.8516092
Wannan Wu, Qinglin Sun, Mingwei Sun, Zengqiang Chen
{"title":"Modeling and Control of Parafoil Systems Based on CFD","authors":"Wannan Wu, Qinglin Sun, Mingwei Sun, Zengqiang Chen","doi":"10.1109/DDCLS.2018.8516092","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8516092","url":null,"abstract":"The calculation of canopy aerodynamic parameters plays an important part in the airdrop system. Based on the finite volume method, this paper calculates the aerodynamic parameters of the parafoil systems, and then the deflection and incision factors are estimated by the CFD output data. The obtained lift and drag coefficients instead of the traditional parameters based on lifting-line theory are incorporated into the aerodynamic equation of a parafoil system. The active disturbance rejection control strategy is applied to control the systems. The effectiveness of the proposed method can be demonstrated by the simulation results. The work in this paper may be a reference for the parafoil system design.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"14 1","pages":"295-301"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89799166","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
A Novel System Decomposition Method Based on Pearson Correlation and Graph Theory* 一种基于Pearson相关和图论的系统分解新方法*
2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2018-05-01 DOI: 10.1109/DDCLS.2018.8515967
Jing Jin, Shu Zhang, L. Li, T. Zou
{"title":"A Novel System Decomposition Method Based on Pearson Correlation and Graph Theory*","authors":"Jing Jin, Shu Zhang, L. Li, T. Zou","doi":"10.1109/DDCLS.2018.8515967","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8515967","url":null,"abstract":"With the increasing attention of networked control, system decomposition and distributed models show significant importance in the implementation of model-based control strategy. In the traditional system decomposition methods based on graph theory, the weight on each edge of the graph is set by state space equation to reflect the mutual influence of variables in the system. But in the actual industrial process, the acquisition of state space equation is more difficult. In this paper, a system decomposition method based on Pearson correlation coefficient and graph theory is proposed to avoid the use of state space equations. At first, a directed graph is established to represent the actual process of the industrial system and the weights on corresponding edges in the directed graph are set by the Pearson correlation coefficients between two nodes connected by these edges. Then the directed graph is decomposed into several initial subgraphs and the subgraphs will be fused according to a certain rule. Here, a fusion index is defined to select the optimal fusion results in each fusion process. After each fusion process, the termination condition is required to determine whether to continue the next round of fusion process. When the fusion process ends, the subsets obtained at this time are the results of the system decomposition. When the system decomposition is finished, the online subsystems modeling will be carried out by RPLS algorithm. Finally, the proposed algorithm is applied in the Tennessee Eastman process to verify the validity.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"1 1","pages":"819-824"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86112311","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
Convergence Performance of Discrete Power Attracting Law 离散功率吸引律的收敛性能
2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2018-05-01 DOI: 10.1109/DDCLS.2018.8515952
Lingwei Wu, Mingxuan Sun, Guang Chen
{"title":"Convergence Performance of Discrete Power Attracting Law","authors":"Lingwei Wu, Mingxuan Sun, Guang Chen","doi":"10.1109/DDCLS.2018.8515952","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8515952","url":null,"abstract":"This paper studies the tracking control of uncertain discrete-time systems, a discrete power attracting law is presented for designing the controller. The system has a faster convergence speed obviously and no chattering phenomenon. A measure of the order O(T 3) disturbance-rejection is embedded in the attracting law, so that the steady-state error (SSE) magnitude of the developed method is of the order O(T 3). In order to characterize the tracking performance, we derive the expressions for the range of the power monotone decreasing (PMD) region, the power absolute attractive (PAA) layer and SSE band. Computer simulation results are given to validate the effectiveness and superiority of the presented control method.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"202 1","pages":"974-978"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76624764","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 State of Charge Estimation Approach Based on Fractional Order Adaptive Extended Kalman Filter for Lithium-ion Batteries 基于分数阶自适应扩展卡尔曼滤波的锂离子电池充电状态估计方法
2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2018-05-01 DOI: 10.1109/DDCLS.2018.8516091
Mengen Xu, Qiao Zhu, Meng’qian Zheng
{"title":"A State of Charge Estimation Approach Based on Fractional Order Adaptive Extended Kalman Filter for Lithium-ion Batteries","authors":"Mengen Xu, Qiao Zhu, Meng’qian Zheng","doi":"10.1109/DDCLS.2018.8516091","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8516091","url":null,"abstract":"This paper focuses on the state of charge (SOC) estimation of a lithium-ion battery in electric vehicles (EVs) based on a fractional order adaptive extended Kalman filter (FOAEKF). First, a fractional order model (FOM) is introduced to describe the physical behavior of the battery. Then, the parameters of the FOM are identified by a genetic algorithm. The efficiency of the FOM is verified by comparing with the integral order one. After that, a FOAEKF algorithm is developed to deal with the state estimation problem of the FOM. Finally, two dynamic operation conditions are given to show the efficiency of the FOAEKF by comparing with the extended Kalman filter (EKF) for FOM and the adaptive extended Kalman filter (AEKF) for integral order one.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"118 1","pages":"271-276"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73049984","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: 6
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