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Relaxed Stability Criteria for Time-Delay Systems:A Novel Quadratic Function Convex Approximation Approach

IEEE/CAA Journal of Automatica Sinica 2024年第4期11卷 996-1006页

作者： Shenquan Wang Wenchengyu Ji Yulian Jiang Yanzheng Zhu Jian Sun College of Electrical and Electronic Engineering Changchun University of TechnologyChangchun 130012China the College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China Key Laboratory of Complex Systems Intelligent Control and Decision Beijing Institute of TechnologyBeijing 100081China

This paper develops a quadratic function convex approximation approach to deal with the negative definite problem of the quadratic function induced by stability analysis of linear systems with time-varying *** introducing two adjustable parameters and two free variables,a novel convex function greater than or equal to the quadratic function is constructed,regardless of the sign of the coefficient in the quadratic *** developed lemma can also be degenerated into the existing quadratic function negative-determination(QFND)lemma and relaxed QFND lemma respectively,by setting two adjustable parameters and two free variables as some particular ***,for a linear system with time-varying delays,a relaxed stability criterion is established via our developed lemma,together with the quivalent reciprocal combination technique and the Bessel-Legendre *** a result,the conservatism can be reduced via the proposed approach in the context of constructing Lyapunov-Krasovskii functionals for the stability analysis of linear time-varying delay ***,the superiority of our results is illustrated through three numerical examples.

关键词： Equivalent reciprocal combination technique quadratic function convex approximation approach stability timevarying delay

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Thickness Measurement of Single-Mode Fiber Coating Layer Based on Forward Brillouin Scattering

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IEEE Sensors Journal 2025年第11期25卷 19332-19340页

作者： Zhang, Yongqi Wang, Tao Liu, Yijia Liu, Li Zhang, Mingjiang Taiyuan University of Technology Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education College of Physics and Optoelectronic Engineering Taiyuan030024 China Taiyuan University of Technology Shanxi Key Laboratory of Precision Measurement Physics College of Physics and Optoelectronic Engineering Taiyuan030024 China

The coating layer is essential for protecting and applying optical fibers. Nowadays, the thickness measurement of the coating layer relies on point measurement schemes such as the side-looking light distribution method and mechanical method. However, there are some problems with the above methods, such as the trade-off between resolution and field of view, the cutting of the measurement position and the long measurement time. To overcome these problems, we propose a new method based on forward Brillouin scattering, which measures the coating layer thickness of single-mode fibers. The physical properties of the transverse acoustic field involved in forward Brillouin scattering make it possible to measure the thickness of the fiber coating. The corresponding relationship between the transverse acoustic mode frequency and the diameter of the coating layer can be calculated. The coating layer thickness can be measured with high precision by measuring the frequency spectrum of forward Brillouin scattering corresponding to multiple transverse acoustic modes at a given temperature. In the verification experiment, three types of single-mode fibers coated with polyimide are used as the sensing fiber to measure the thickness of the coating layer at multiple temperatures. The experimental results show that the error in the coating layer thickness obtained is less than 0.05 μm. To the best of our knowledge, this is the first demonstration of non-destructive, high-precision monitoring of fiber coating thickness. © 2001-2012 IEEE.

关键词： Acoustic field measurement

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Adaptive dynamic surface control for quadrotor-slung load transportation system with uncertainties

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Science China(Technological Sciences) 2023年第10期66卷 2917-2929页

作者： DING Feng HUANG Jian SUN Chong AI Yong XU WenXia YANG ChenGuang School of Computer Science South-Central Minzu UniversityWuhan 430074China Key Laboratory of Ministryof EducationforImage Processing and Intelligent ControlHubei Key Laboratoryof Brain-inspired Intelligent Systems School of Artificial Intelligence and Automation Huazhong University of Science and TechnologyWuhan 430074China School of Computer Science and Engineering Wuhan Institute of TechnologyWuhan 430205China Key Laboratory of Ministry of Education for Autonomous Systems and Networked Control Guangdong Engineering Technology Research Center of Control of Intelligent SystemsCollege of Automation Science and EngineeringSouth China University of TechnologyGuangzhou 510640China

Quadrotors play a significant role in our lives and are transforming our *** cable-suspended loads is an unavoidable quadrotor application trend and a hot research topic in the control ***,the load swing and unpredictability pose significant challenges to the quadrotor's *** this paper,an anti-swing controller with an inner-outer control strategy for the quadrotor-slung load transportation system is *** facilitate the controller design,the outer position dynamics are restructured in the form of ***,a virtual controller is created to force the underactuated states to the dynamic surface to ensure the position subsystem's *** improve robustness,an adaptive law is used to eliminate the effects of uncertain cable ***,a dynamic surface controller for the inner attitude subsystem is presented to drive the actual force to the virtual *** is demonstrated that the control strategy can stabilize the quadrotor despite mass and cable length *** results are provided to demonstrate the efficacy and durability of the proposed method.

关键词： quadrotor-slung load transportation system dynamic surface control adaptive law cascade system model uncertainties

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Short-Term Passenger Flow Prediction for Urban Rail Based on Improved EEMD-Ensemble Learning 6th

Short-Term Passenger Flow Prediction for Urban Rail Based on...

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6th International Conference on Electrical Engineering and Information Technologies for Rail Transportation, EITRT 2023

作者： Qiao, Yaoqin Zhou, Huijuan Zhang, Xiayu Liu, Lufei Beijing Key Laboratory of Intelligent Control Technology for Urban Road Traffic North China University of Technology Beijing China

ISBN: (纸本)9789819993109

Urban rail transit passenger flow prediction encounters two primary challenges: the inability to effectively capture the variations in passenger flow patterns and the limited accuracy of prediction models. Therefore, this paper proposes three improved Ensemble Empirical Mode Decomposition (EEMD) methods to accurately capture the characteristics of passenger flow sequence data: (1) Grouped Reconstruction of IMF (Intrinsic Mode Function) Components in EEMD;(2) High-Frequency Disturbance Removal EEMD;(3) Hybrid EEMD. Simultaneously, a short-term passenger flow combination prediction model for urban rail transit stations is established. In order to enhance the prediction accuracy and robustness of the model, the base models utilized include XGBoost, LightGBM, and LSTM. Additionally, the Stacking ensemble method is employed to fuse the models together. Finally, a short-term passenger flow prediction model for urban rail transit based on improved EEMD and ensemble learning is constructed. Taking the entry passenger flow of Beijing West Station in the Beijing Subway as an example, the effectiveness of the model in predicting short-term passenger flow in urban rail transit is validated. © Beijing Paike Culture Commu. Co., Ltd. 2024.

关键词： Empirical mode decomposition

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Research on intelligent Collaborative Perception of Space Non-cooperative Targets Based on AOCS Platform 1

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7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Du, Hang Hu, Haixia Zhang, Haibo Beijing Institute of Control Engineering Beijing China National Key Laboratory of Science and Technology On Space Intelligent Control Beijing China

ISBN: (数字)9789819733323

ISBN: (纸本)9789819733316

This article provides a detailed introduction to the space non-cooperative targets intelligent collaborative perception module, whose main function is to improve the system’s understanding of the target and task environment through recognition, judgment, learning, and other processes, based on the target model containing multidimensional information obtained from target reconstruction, as well as data resources such as target model characteristic test data and target feature digital volume library. Module includes a space target feature dataset, a space target intelligent cooperative perception algorithm interaction environment, space target model feature clustering and recognition software, space target model matching and situation association software, space target position and attitude measurement software, and a parallel computing module. The dataset is used to train the space target model feature clustering and recognition software to obtain the model parameters of the recognition algorithm, which is used for the recognition of space target identity information and local feature information;the space target model matching and situation association software further associates the recognition information of the local features of the space target. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Association reactions

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Enhancing Flexibility of Virtual Power Plants Considering Reconfiguration of District Heating Network

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CSEE Journal of Power and Energy Systems 2025年第2期11卷 826-837页

作者： Peinan Fan Yixun Xue Haotian Zhao Xinyue Chang Jia Su Ke Wang Hongbin Sun College of Electrical and Power Engineering Taiyuan University of TechnologyEnergy Internet Key Laboratory of Shanxi Provinceand also with Key Laboratory of Cleaner Intelligent Control on Coal&ElectricityMinistry of EducationTaiyuan 030024China Department of Electrical Engineering Tsinghua UniversityBeijing 100084China

Large-scale renewable energy penetration desires higher flexibility in the power *** heat and power virtual power plants(CUP-VPPs)provide an economic-effective method to improve the power system flexibility by aggregating the distributed resources of an electric-thermal coupling *** topology can be optimally reconfigured in a power distribution system by operating tie and segment ***,the heat flow profile can be redistributed in the district heating system(DHS)with valve switching and provide notable flexibility for CHP-VPPs *** address this issue,an aggregation model for the CHP-VPP is proposed to trade in typical day-ahead energy and reserve electricity markets,which is formulated as an adjustable robust optimization(ARO)problem to assure the realizability of all dispatch *** energy flow model is introduced in DHS formulation to make the model *** to the binary switching variables in the second stage of the proposed ARO problem,classical Karush-Kuhn-Tucker-based algorithms cannot be adopted directly and a nested column-and-constraint generation solution strategy is *** studies based on an actual CHP-VPP certify the validity of the proposed model and algorithm.

关键词： Adjustable robust optimization DHS reconfiguration electric-thermal coupling system virtual power plants

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Optimization of Buckling Stability of Spring Operating Mechanism of Vacuum Circuit Breaker Based on Tolerance Chain Simulation 7

Optimization of Buckling Stability of Spring Operating Mecha...

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7th International Conference on Electric Power Equipment - Switching technology, ICEPE-ST 2024

作者： You, Yimin Li, Xingyu Zhong, Shuling Xiamen University of Technology Key Laboratory of High end Power Equipment and Intelligent Control Xiamen China

ISBN: (纸本)9798350388947

This research focuses on optimizing the latching stability of spring operating mechanism. By analyzing the mechanical properties of the tripping mechanism, identifying key components, and investigating the impact of the latching volume on the circuit breaker's closed state, a dimensional chain model is established for tolerance chain calculation and analysis. It is found that the existing spring operating mechanism have insufficient tolerance matching, leading to deviations in the latching volume from the ideal range. Employing tolerance chain simulation, critical components and their dimensions are determined, assessing their sensitivity and contribution to performance. Integrating stress simulation analysis to account for the influence of key component deformation, design tolerances are optimized to meet technical specifications. This study effectively enhances the design reliability and operational performance of spring operating mechanism. © 2024 IEEE.

关键词： Local buckling

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Blackspots identification of abnormal driving behavior based on improved DBSCAN algorithm 3

Blackspots identification of abnormal driving behavior based...

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3rd International Conference on Electronic Information Engineering, Big Data, and Computer technology, EIBDCT 2024

作者： Wang, Yuting Zhao, Qi Xiu, Weijie Beijing Key Laboratory of Urban Intelligent Traffic Control Technology North China University of Technology Beijing100144 China

ISBN: (纸本)9781510680449

In recent years, urban traffic safety issues have increasingly garnered widespread attention, as traffic accidents pose significant threats to the safety of people's lives and properties. Driver's abnormal driving behaviors often occur in conjunction with traffic accidents, and the quantity of abnormal driving behavior data is significantly larger than that of accident data, making it a more comprehensive reflection of driving conditions and deserving in-depth analysis. Existing research rarely matches abnormal driving behavior data with map coordinates, and there is limited use of visualization methods to display the distribution of data points. This paper proposes an improved DBSCAN clustering algorithm based on abnormal driving behavior data and utilizes the minimum spanning tree algorithm to calculate the density of each clustering cluster. By computing the density of the clustering clusters, we can better understand the spatial distribution characteristics of abnormal driving behaviors, further analyze the degree of clustering of these clusters, and study the distribution of abnormal driving behavior. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Clustering algorithms

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Electroencephalogram Channel Selection Method for Lower Limb Motor Imagery Based on ReliefF-Spearman 25

Electroencephalogram Channel Selection Method for Lower Limb...

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25th IEEE China Conference on System Simulation technology and its Application, CCSSTA 2024

作者： Chen, Wenjin Yang, Ying Ren, Hui Han, Chunxiao Tianjin University of Technology and Education Tianjin Key Laboratory of Information Sensing & Intelligent Control Tianjin China

ISBN: (纸本)9798350366600

Research on lower limb motor imagery using electroencephalography (EEG) signals has significant applications in lower limb rehabilitation and neural repair. However, practical applications often face challenges due to the inconvenience of using numerous EEG channels. Efficient EEG channel selection methods are therefore crucial. This paper introduces a novel algorithm based on ReliefF-Spearman for EEG signal classification in lower limb motor imagery. The algorithm selects EEG channels by considering individual differences and band signal characteristics, integrating ReliefF's weighting concept with Spearman's correlation principle. Results demonstrate that it reduces the required number of channels significantly compared to traditional algorithms based on ReliefF while maintaining classification accuracy. Furthermore, the channel selection outcomes are independent of user experience. Spatial distribution analysis shows that selected channels align with established neurophysiological motor imagery locations, validating the approach's scientific reliability. This algorithm provides new insights into EEG channel selection for motor imagery research. © 2024 IEEE.

关键词： Neuromuscular rehabilitation

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Distribution Network Fault Location Method Based on EWT-AOE-SD with Section Optimization Equation 9

Distribution Network Fault Location Method Based on EWT-AOE-...

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9th Asia Conference on Power and Electrical Engineering, ACPEE 2024

作者： Wei, Qi Geng, Pulong Zheng, Lijun Gao, Xi Tian, Ruijie Taiyuan University of Technology Shanxi Key Laboratory of Mining Electrical Equipment and Intelligent Control Shanxi China

ISBN: (纸本)9798350309638

Accurate fault localization is difficult to achieve by the complex structure of distribution networks, numerous branches and the penetration of a large number of distributed energy sources. In order to solve the problem of accurate single-phase grounding fault localization in distribution networks, a fault localization method is proposed based on EWT-AOE-SD with section optimization equation. The empirical wavelet transform and analytic energy operator of symmetrical differencing (EWT-AOE-SD) are used to calibrate the travelling wave head, and the single-ended ranging equation is used to calculate the fault distance. On the basis of single-ended ranging, the section optimization equation is constructed, solve the equations using the whale swarm optimization algorithm, and the section with the smallest calculated value is the fault section, while the optimal solution of the equation also reflects the fault distance. The method does not require the travelling wave detection device to keep the clock synchronous, eliminating the effect of synchronization error. The simulation results of MATLAB proved that this method has high accuracy. © 2024 IEEE.

关键词： Wavelet transforms

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