IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans最新文献_第10页

Robust Invariant Manifold-Based Output Voltage-Tracking Controller for DC/DC Boost Power Conversion Systems 基于鲁棒不变流形的DC/DC升压转换系统输出电压跟踪控制器

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-03-01 DOI: 10.1109/TSMC.2019.2899152

Seok‐Kyoon Kim, C. Ahn

引用次数: 6

A Novel Multicamera System for High-Speed Touchless Palm Recognition 一种用于高速非接触式手掌识别的新型多摄像头系统

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-03-01 DOI: 10.1109/TSMC.2019.2898684

Xu Liang, David Zhang, Guangming Lu, Zhenhua Guo, Nan Luo

{"title":"A Novel Multicamera System for High-Speed Touchless Palm Recognition","authors":"Xu Liang, David Zhang, Guangming Lu, Zhenhua Guo, Nan Luo","doi":"10.1109/TSMC.2019.2898684","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2898684","url":null,"abstract":"Palm-related biometrics have been widely studied for a long time, as the palm contains many distinctive patterns. However, most of the existing systems are designed to work within an ideal environment, such as in front of a unicolor background or in a large enclosure. Those preconditions can avoid influences of ambient light and hand distance change, but at the same time, they also limit the applications of palm recognition. In the work reported in this paper, we designed a novel red-green-blue and depth-based four-camera system that can capture the palm-related images separately in real time. The techniques of region-of-interest (ROI) location, ROI alignment, and light-source intensity optimization were studied. The ROI location method is modified to increase the robustness of hand gesture variation. Based on the depth information, we proposed the coordinate mapping and inclination rectification methods to obtain aligned ROI pairs. Using this device, we collected a video-based multimodal palm image database. After the parameter optimization and information fusion, the equal-error-rate of our approach on this database is lower than 0.47%. The recognition rate obtained from the support-vector-machine-based fusion is higher than 99.8%. The experimental results prove that the proposed system achieves advantages of anti-spoofing, high speed, high accuracy, and small size.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"31 1","pages":"1534-1548"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73507990","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: 24

Fuzzy Adaptive Fault-Tolerant Control of Fractional-Order Nonlinear Systems 分数阶非线性系统的模糊自适应容错控制

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-03-01 DOI: 10.1109/TSMC.2019.2894663

Yuanxin Li, Qu Wang, Shaocheng Tong

引用次数: 51

High-Order Internal Model-Based Iterative Learning Control for 2-D Linear FMMI Systems With Iteration-Varying Trajectory Tracking 具有迭代变轨迹跟踪的二维线性FMMI系统的高阶内模迭代学习控制

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-03-01 DOI: 10.1109/TSMC.2019.2897459

Kai Wan, Xiao-dong Li

{"title":"High-Order Internal Model-Based Iterative Learning Control for 2-D Linear FMMI Systems With Iteration-Varying Trajectory Tracking","authors":"Kai Wan, Xiao-dong Li","doi":"10.1109/TSMC.2019.2897459","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2897459","url":null,"abstract":"This paper is concerned with iterative learning control (ILC) algorithms for two-dimensional (2-D) linear discrete systems described by the first Fornasini–Marchesini model (FMMI) with iteration-varying reference trajectories/profiles. The variation of reference trajectories in iteration domain is represented by a high-order internal model (HOIM) formula. Robustness and convergence of two types of HOIM-based ILC laws with different boundary conditions are investigated, respectively. A strategy employed in this paper is to reconstruct the HOIM-based ILC process of the 2-D linear FMMI system into a set of 2-D linear inequalities or a 2-D linear Roesser model such that sufficient robustness/convergence conditions of the HOIM-based ILC laws are obtained. Under random boundary conditions, the designed ILC law (9) is capable to drive the ILC tracking error into a bounded range. Moreover, under the HOIM-based boundary conditions, a perfect tracking to the iteration-varying reference trajectories can be achieved by utilizing the proposed ILC law (32). Two simulation examples are given to validate the effectiveness of the two proposed ILC algorithms.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"16 1","pages":"1462-1472"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77018827","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: 26

Capability Oriented Equipment Contribution Analysis in Temporal Combat Networks 时序作战网络中面向能力的装备贡献分析

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-02-01 DOI: 10.1109/TSMC.2018.2882782

Jichao Li, Danling Zhao, Jiang Jiang, Kewei Yang, Yingwu Chen

{"title":"Capability Oriented Equipment Contribution Analysis in Temporal Combat Networks","authors":"Jichao Li, Danling Zhao, Jiang Jiang, Kewei Yang, Yingwu Chen","doi":"10.1109/TSMC.2018.2882782","DOIUrl":"https://doi.org/10.1109/TSMC.2018.2882782","url":null,"abstract":"Modern military operations in high-tech information warfare settings are dynamic processes involving various types of combat systems connected via multiple channels, which can be abstracted as a type of complex temporal combat network (TCN). The equipment contribution analysis in TCNs is of significant military value for optimizing operation process planning and improving network resilience in complex electromagnetic battlefields. This paper presents an integrated framework called capability oriented equipment contribution analysis (CECA) to analyze key equipment in TCNs. Specifically, a temporal network model is proposed to characterize TCNs by considering their dynamic nature and the heterogeneity capabilities of different types of functional entities during military operations. Based on this model, an operation capability contribution index is proposed to measure the contribution of each piece of equipment involved in executing operational tasks. Finally, the reliability and effectiveness of the CECA are demonstrated based on a TCN case study. This paper provides a detailed and precise quantitative analysis of the equipment contributions in TCNs, which yields useful insights for operation guidance and designing a more resilient combat system-of-systems.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"13 1","pages":"696-704"},"PeriodicalIF":0.0,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89562918","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: 15

Adaptive Estimation of Time-Varying Parameters With Application to Roto-Magnet Plant 时变参数的自适应估计及其在旋转磁体装置中的应用

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-02-01 DOI: 10.1109/TSMC.2018.2882844

J. Na, Yashan Xing, R. Costa-Castelló

引用次数: 42

Adaptive Control for Three-Phase Power Converters With Disturbance Rejection Performance 具有抗扰性能的三相电源变换器自适应控制

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-02-01 DOI: 10.1109/TSMC.2018.2876322

Yunfei Yin, Jianxing Liu, Wensheng Luo, Ligang Wu, S. Vazquez, J. I. Leon, L. Franquelo

{"title":"Adaptive Control for Three-Phase Power Converters With Disturbance Rejection Performance","authors":"Yunfei Yin, Jianxing Liu, Wensheng Luo, Ligang Wu, S. Vazquez, J. I. Leon, L. Franquelo","doi":"10.1109/TSMC.2018.2876322","DOIUrl":"https://doi.org/10.1109/TSMC.2018.2876322","url":null,"abstract":"This paper presents voltage regulation and current tracking control strategies for three phase two-level grid-connected power converters. By using power-invariant Park’s transformation, an averaged mathematical model of power converters is obtained in dq synchronous reference frame. Then a novel control strategy using adaptive control and <inline-formula> <tex-math notation=\"LaTeX\">${H}_{infty }$ </tex-math></inline-formula> technique is proposed to regulate the dc-link output voltage as well as track a desired current reference for three-phase power rectifiers. More specifically, an efficient adaptive controller is established in the external loop for regulating dc-link output voltage in the presence of external disturbances. A set of <inline-formula> <tex-math notation=\"LaTeX\">${H}_{infty }$ </tex-math></inline-formula> controllers are designed in the internal loop to force the input currents track their desired values. Finally, simulation results obtained from the proposed control method are presented, analyzed, and compared with that of sliding mode control, and the superiority of the proposed control laws is verified.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"11 4 1","pages":"674-685"},"PeriodicalIF":0.0,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84079068","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: 14

Adaptive Neural Discrete-Time Fractional-Order Control for a UAV System With Prescribed Performance Using Disturbance Observer 基于扰动观测器的无人机系统自适应神经离散时间分数阶控制

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-02-01 DOI: 10.1109/TSMC.2018.2882153

Shuyi Shao, Mou Chen

引用次数: 35

Predictive Cloud Control for Networked Multiagent Systems With Quantized Signals Under DoS Attacks 基于量化信号的网络化多智能体系统在DoS攻击下的预测云控制

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-02-01 DOI: 10.1109/TSMC.2019.2896087

Hongjiu Yang, Shuang Ju, Yuanqing Xia, Jinhui Zhang

引用次数: 39

Optimal Output Synchronization Control of a Class of Complex Dynamical Networks With Partially Unknown System Dynamics 一类系统动力学部分未知的复杂动态网络的最优输出同步控制

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-02-01 DOI: 10.1109/TSMC.2018.2882827

Ning Wang, Xiaojian Li

引用次数: 31