2022 7th International Conference on Control, Robotics and Cybernetics (CRC)最新文献

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An EHGO-based Robust Control for Multi-agent Consensus With Unmeasured Velocity and Disturbances 具有不可测速度和干扰的基于ehgo的多智能体一致性鲁棒控制
2022 7th International Conference on Control, Robotics and Cybernetics (CRC) Pub Date : 2022-12-15 DOI: 10.1109/CRC55853.2022.10041234
Weihao Li, Mengji Shi, Jiangfeng Yue, Boxian Lin, Kaiyu Qin, Xinyu Zhang
{"title":"An EHGO-based Robust Control for Multi-agent Consensus With Unmeasured Velocity and Disturbances","authors":"Weihao Li, Mengji Shi, Jiangfeng Yue, Boxian Lin, Kaiyu Qin, Xinyu Zhang","doi":"10.1109/CRC55853.2022.10041234","DOIUrl":"https://doi.org/10.1109/CRC55853.2022.10041234","url":null,"abstract":"This paper addresses the robust consensus control problem for the second-order multi-agent system in the presence of unknown lumped disturbances and without velocity measure-ments. A novel robust consensus controller is constructed by combining the improved extended high-gain observer (EHGO) and continuous sliding mode control (SMC) strategy. Specifically, for the unknown velocity and lumped disturbances, the EHGO component can estimate them simultaneously by adjusting a simple dynamic parameter. Then, in light of the singular per-turbation technique, the convergence of the closed-loop error system is demonstrated and robust consensus control is achieved. Finally, a numerical simulation experiment is given to verify the effectiveness of robust consensus control strategy,","PeriodicalId":275933,"journal":{"name":"2022 7th International Conference on Control, Robotics and Cybernetics (CRC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130050169","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
Affective Brain-Computer Interface using Frontal Entropy Asymmetry for Human- Machine Interaction 基于正面熵不对称的人机交互情感脑机接口
2022 7th International Conference on Control, Robotics and Cybernetics (CRC) Pub Date : 2022-12-15 DOI: 10.1109/CRC55853.2022.10041230
Xuejie Liu, Lifeng You, Hongxi Li, Han Zhang
{"title":"Affective Brain-Computer Interface using Frontal Entropy Asymmetry for Human- Machine Interaction","authors":"Xuejie Liu, Lifeng You, Hongxi Li, Han Zhang","doi":"10.1109/CRC55853.2022.10041230","DOIUrl":"https://doi.org/10.1109/CRC55853.2022.10041230","url":null,"abstract":"This paper aims to explore the frontal EEG correlates for an affective brain-computer interaction system in a social-life scenario. We first perform a multi-band decomposition on frontal EEG signals using complete ensemble empirical mode decomposition with adaptive noise. Then frontal asymmetric entropy features, including asymmetry of sample entropy and fuzzy entropy, as well as frontal transfer entropy, are proposed for emotion recognition. Those features are further selected by mutual information and ANOVA test, and classified by random forest and gradient boosting classifier. Average accuracies on the DEAP dataset are 71.09% for arousal, 77.34% for valence, on the human-machine affective interaction system are 84.51%, validating the reliability and effectiveness of the proposed features for emotion recognition.","PeriodicalId":275933,"journal":{"name":"2022 7th International Conference on Control, Robotics and Cybernetics (CRC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121080797","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
Multi-sensor Fused Localization Algorithm Based on Optimized Nearest Neighbor Search 基于最优近邻搜索的多传感器融合定位算法
2022 7th International Conference on Control, Robotics and Cybernetics (CRC) Pub Date : 2022-12-15 DOI: 10.1109/CRC55853.2022.10041201
Yuhui Cheng, R. Lin, Wei-wei Zhao
{"title":"Multi-sensor Fused Localization Algorithm Based on Optimized Nearest Neighbor Search","authors":"Yuhui Cheng, R. Lin, Wei-wei Zhao","doi":"10.1109/CRC55853.2022.10041201","DOIUrl":"https://doi.org/10.1109/CRC55853.2022.10041201","url":null,"abstract":"Fast and accurate localization of mobile robot is one of the most critical problems in its field, by which the robot can obtain information about its environment and track its poses. An optimized adaptive Monte Carlo localization (BBF_AMCL) based on a 2D raster map is proposed to solve the robot localization problem. The improved localization algorithm is based on 2D laser information, IMU, odometer, and cliff sensors for localization. First, the efficient nearest neighbor search technique is used to construct the likelihood domain map, which reduces the cost time to build the likelihood domain map and speeds up particle weight updating. Second, an expanded Kalman filter is utilized to combine data from the IMU and the odometer in order to increase a priori positioning accuracy, as well as to reduce the robot's judgment time for abduction by using cliff sensors to assess if abduction has happened, thus increasing real-time localization performance. When searching the nearest neighbor obstacle distance, the optimized nearest neighbor search algorithm will sort by the distance from the lookup point to the node's hyperplane, then continue to search the node with the highest priority, and when the set search time is exceeded, directly return the current nearest neighbor distance as the approximate nearest neighbor. Overall, the algorithm has significant improvement in the pre-processing localization phase and good accuracy improvement and time reduction in the real-time localization phase.","PeriodicalId":275933,"journal":{"name":"2022 7th International Conference on Control, Robotics and Cybernetics (CRC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128651760","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
XMI-Based SysML Model Transformation 基于xml的SysML模型转换
2022 7th International Conference on Control, Robotics and Cybernetics (CRC) Pub Date : 2022-12-15 DOI: 10.1109/CRC55853.2022.10041202
Yupeng Li, Hailian Zhang, Jiyuan Lv, Yusheng Liu
{"title":"XMI-Based SysML Model Transformation","authors":"Yupeng Li, Hailian Zhang, Jiyuan Lv, Yusheng Liu","doi":"10.1109/CRC55853.2022.10041202","DOIUrl":"https://doi.org/10.1109/CRC55853.2022.10041202","url":null,"abstract":"With the development and progress of Model-Based Systems Engineering (MBSE), it has gradually replaced the traditional text-based methods and has been widely used. Systems Modeling Language (SysML) is the de facto standard for MBSE approaches. However, there are various SysML-based system engineering modeling softwares, transformation of heterogeneous data from various softwares become an urgent need to meet. Here, we base on the XMI standard and the system engineering modeling software M-Design, achieve transformation from the XMI format file to the objects design according to SysML language. Firstly, we analyze a XMI format file structure, and secondly design a transformation solution according to analysis and SysML standard. After transformation, we compare result project and the original one to check consistency. With this method, heterogeneous data from different software can be communicated easily.","PeriodicalId":275933,"journal":{"name":"2022 7th International Conference on Control, Robotics and Cybernetics (CRC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132991749","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
Novel Cross-validity Criteria and Statistical Index in Non-Gaussian Space 非高斯空间中新的交叉效度准则与统计指标
2022 7th International Conference on Control, Robotics and Cybernetics (CRC) Pub Date : 2022-12-15 DOI: 10.1109/CRC55853.2022.10041238
Zhongyi Yang, Jinglin Zhou
{"title":"Novel Cross-validity Criteria and Statistical Index in Non-Gaussian Space","authors":"Zhongyi Yang, Jinglin Zhou","doi":"10.1109/CRC55853.2022.10041238","DOIUrl":"https://doi.org/10.1109/CRC55853.2022.10041238","url":null,"abstract":"Quality-relevant fault detection is crucial to ensure the safe and stable operation of industrial processes, but the existing cross-validation methods based on the sum of squares have shortcomings and may not be able to determine the appropriate number of features in the non-Gaussian case, so this study proposes a novel cross-validation method incorporating entropy, which uses entropy instead of the sum of squares to deal with errors and prediction errors. In addition, the conventional statistics $T^{2}$ and Q are low-order statistics that can hardly summarize the non-Gaussian information in the data appropriately, so this paper proposes an entropy-based statistic for process monitoring, using the higher-order statistic (entropy) to analyze the non-Gaussian information. Experimental results from synthetic numerical simulations and the Tennessee-Eastman process benchmark test verified the effectiveness of the proposed methods.","PeriodicalId":275933,"journal":{"name":"2022 7th International Conference on Control, Robotics and Cybernetics (CRC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129730096","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
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