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Multi-projectiles Target Data Association Algorithm Based on D-S Evidence Theory

IEEE Access 2024年 1-1页

作者： Sun, Ce Zhang, Liping He, Jinqi Gao, Junchai Li, Jing Lei, Zhiyong Beijing Key Lab. for Precision Optoelectronic Measurement Instrument and Technology School of Optics and Photonics Beijing Institute of Technology Beijing 100081 China College of Communication Engineering Jilin University Changchun 130025 Jilin China Changchun Hengli Photoelectric Technology Co.LTD. Changchun 130022 Jilin China School of Electronic and Information Engineering of Xi’an Technological University Xi’an 710065 Shaanxi China

In the process of accuracy measurement of multi-projectile intersection target, aiming at the problem of multi-projectile target matching on two imaging planes of linear CCD(Charge Coupled Device), a Time-Dimension ICP(iterative closest point) iterative optimization data association algorithm is designed, and a data association decision algorithm based on D-S(Dempster-Shafer evidence theory) evidence reasoning is proposed. By analyzing the correlation error of multi-projectile target matching, the measure function of ICP iteration optimization is given. According to the basic principle of D-S evidential reasoning and the constraint relationship between two imaging surfaces of a multi-projectile online array camera, the design method of the basic probability assignment function of the number of data association, the mean value of absolute error and the consistency of error are given. According to D-S combination probability distribution, different data association results are reasoned and decided. By designing the distance error function from the point to the polar line, the method is extended to the area array high-speed photographic intersection measurement system. The simulation results show that the proposed algorithm can make effective judgments and give reliable data association results when the projectile data is missing, the projectile data is noisy and the projectile catches up. Author

关键词： Data fusion

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Gated Fusion and Dual Attention Network for Road Extraction from Satellite Imagery

Gated Fusion and Dual Attention Network for Road Extraction ...

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International Conference on Image, Vision and Computing (ICIVC)

作者： Haijuan Wang Lin Bai Bo Ji Jiaming Shen Ying Jin Fei Ye Chunlin Zhu school of electronics and control engineering Chang'an University Xi'an China Zhejiang Aerospace Runbo Measurement and Control Technology Co. Ltd. Hangzhou China Xi'an Aeronautics Computing Technique Research Institute Xi'an China

Automatic recognition and extraction of roads from high-resolution satellite images is a crucial task in remote sensing and computer vision. With the continuous development of remote sensing technology, more ground object information is contained in images, making it more challenging to extract roads due to increased interference. This paper proposes a gated fusion and dual attention network with an encoder-decoder structure to address this problem. The full-stage gated fusion module in skip connection selectively fuses feature maps of different scales using the Gated Fusion (GFF) unit, which increases the receptive field of the network and improves the accuracy of road extraction. The context extraction and dual attention module introduce rich global information and simultaneously weights features from both spatial and channel dimensions. This improves the semantic segmentation problem caused by focusing only on local information in current road extraction models. Experimental results on two public datasets show that GFDANet can effectively extract roads in complex scenes.

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Ultrafast and real-time physical random bit extraction with all-optical quantization

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Advanced Photonics 2022年第3期4卷 83-89页

作者： Ya Guo Qiang Cai Pu Li Ruonan Zhang Bingjie Xu K.Alan Shore Yuncai Wang Taiyuan University of Technology Key Laboratory of Advanced Transducers and Intelligent Control SystemsMinistry of EducationTaiyuanChina Guangdong University of Technology School of Information EngineeringGuangdong Provincial Key Laboratory of Photonics Information TechnologyGuangzhouChina Northwestern Polytechnical University School of Electronics and InformationXi’anChina Institute of Southwestern Communication Science and Technology on Communication LaboratoryChengduChina Bangor University School of Electronic EngineeringWalesUnited Kingdom

Optical chaos generated by perturbing semiconductor lasers has been viewed,over recent decades,as an excellent entropy source for fast physical random bit generation(RBG)owing to its high bandwidth and large random ***,most optical-chaos-based random bit generators perform their quantization process in the electrical domain using electrical analog-to-digital converters,so their real-time rates in a single channel are severely limited at the level of Gb/s due to the electronic ***,we propose and experimentally demonstrate an all-optical method for RBG where chaotic pulses are quantized into a physical random bit stream in the all-optical domain by means of a length of highly nonlinear *** our proof-of-concept experiment,a 10-Gb/s random bit stream is successfully generated on-line using our *** that the single-channel real-time rate is limited only by the chaos *** that the Kerr nonlinearity of silica fiber with an ultrafast response of few femtoseconds is exploited for composing the key part of quantizing laser chaos,this scheme thus may operate potentially at much higher real-time rates than 100 Gb/s provided that a chaotic entropy source of sufficient bandwidth is available.

关键词： chaos random number generation semiconductor lasers optical signal processing.

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A Simple Approach to Data-driven Security Detection for Industrial Cyber-Physical Systems

A Simple Approach to Data-driven Security Detection for Indu...

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第34届中国控制与决策会议

作者： Bin Liu Jingzhao Chen Yong Hu Engineering Research Center of Metallurgical Automation and Measurement Technology Ministry of EducationWuhan University of Science and Technology School of Information Science and Engineering Wuhan University of Science and Technology Science and Technology on Space Intelligent Control Laboratory Beijing Institute of Control Engineering

In this paper,a data-driven security detection approach is proposed in a simple *** detector is designed to deal with false data injection attacks suffered by industrial cyber-physical systems with unknown model ***,the attacks are modeled from the perspective of the generalized plant mismatch,rather than the operating data being ***,some subsystems are selected to reduce the design complexity of the detector,and based on them,an output estimator with iterative form is presented in a theoretical ***,a security detector is constructed based on the proposed estimator and its cost ***,the effectiveness of the proposed approach is verified by simulations of a Western States Coordinated Council 9-bus power system.

关键词： Security Detection Industrial Cyber-Physical Systems False Data Injection Attack Data-driven

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GPIO Based Iterative Learning control for Manipulators with Time-Varying Disturbances 42

GPIO Based Iterative Learning Control for Manipulators with ...

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42nd Chinese control Conference, CCC 2023

作者： Lu, Huangyuwei Wang, Zuo Sun, Jiankun Xiao, Xi Li, Shihua School of Automation Southeast University Nanjing210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China Shenzhen Research Institute Southeast University Shenzhen518063 China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration Nanjing211106 China

ISBN: (纸本)9789887581543

To improve the disturbance rejection ability and repetitive tracking accuracy of manipulators, a composite iterative learning control (ILC) scheme via generalized proportional integral observer (GPIO) is proposed. A high-order polynomial is first employed to model the time-varying disturbances that include unmodeled dynamics, parameter uncertainties and load fluctuations. A GPIO is then designed to estimate the disturbances and high-order time derivatives. By introducing estimations into a PD-type ILC at each iteration, a composite control scheme is obtained, such that the undesirable influence of time-varying disturbances can be effectively attenuated in the repetitive tracking process of manipulators. In this paper, the rigorous stability analysis of the closed-loop system is presented to guarantee that the tracking error exponentially converges to zero as the iteration number tends to infinity. The effectiveness of the proposed control scheme is finally verified by simulation results. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Disturbance rejection

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Research on Operation control Method and Optimal Configuration of Energy Storage System Integrating Solid-State Heat Storage Considering Low-Carbon Economy 17th

Research on Operation Control Method and Optimal Configurati...

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17th Chinese Intelligent Systems Conference, CISC 2021

作者： Wang, Hui Liu, Jian Dong, Guilin Lv, Shuaishuai Zhang, Yuliang Changchun Institute Of Technology Changchun Jilin130012 China National and Local Joint Engineering Research Center for Measurement Control and Safe Operation of Intelligent Distribution Networks Changchun Jilin130012 China Jilin Province Economic Management Cadre College Changchun130012 China

ISBN: (纸本)9789811663239

TWith the policy of "peak carbon dioxide emission and carbon neutrality" put forward, clean energy will gradually replace traditional heating. In order to reduce carbon emissions, this paper combines solid-state heat storage with battery energy storage, studies the characteristics of wind curtailment, and optimizes the coordinated control strategy of heat storage and energy storage capacity allocation. Considering the constraints of power system and thermal system, this paper takes economic benefit and power optimal distribution as objective functions, establishes a multi-objective bi-level optimization model of heat storage and energy storage hybrid system, and adopts fuzzy algorithm to solve the optimal solution of energy coordination dispatching. The capacity and power of each device should be reasonably planned to meet the economic heating and technical requirements. Finally, the rationality and superiority of the coordinated control method and configuration are verified by the example data, which can effectively solve the utilization ratio of wind power and improve the overall economic benefits of the system. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Heat storage

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Enhanced Generalized Spatial Modulation for STAR-RIS-Aided Vehicular communication System

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IEEE Transactions on Consumer Electronics 2025年

作者： Shang, Pingping Han, Xue Hou, Jia Li, Jun Wang, Shucheng Hubei University of Technology School of Electrical and Electronic Engineering Wuhan430068 China Hubei University of Technology Hubei Key Lab. for High-Efficiency Utiliz. of Solar Ener. and Oper. Control of Energy Storage System Wuhan430068 China Soochow University School of Electronic and Information Engineering Suzhou215000 China Guangzhou University School of Electronics and Communication Engineering Guangzhou510006 China Wuhan Maritime Communication Research Institute Wuhan430205 China

In this paper, a novel scheme is proposed by introducing the concept of generalized spatial modulation (GSM) and space-time block code (STBC) into simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) for vehicular communication system. To improve spectral efficiency and diversity gain of vehicular system, STAR-RIS array elements are categorized into reflective and transmissive blocks, establishing a mapping relationship with the index bits by using GSM. Subsequently, the modulated symbols are reflected or transmitted based on the predetermined allocation patterns of the blocks. Specifically, to enhance the reliability of signal reception, one of the most renowned STBC schemes, the Alamouti code, is employed at the STAR-RIS surface by receiving and detecting signals across two consecutive time slots. Furthermore, the new design of leveraging STAR-RIS as an access point (AP) is proposed, which plays the role of source in the communication scenario. The mathematical formulas and theoretical average bit error rate (BER) of the scheme are derived based on preceding analysis. According to simulation results, the suggested scheme can outperform conventional schemes in terms of BER performance. In addition, the proposed redesigned scheme further improves the BER performance with better channel conditions, exhibiting excellent performance advantages. © 1975-2011 IEEE.

关键词： Space-time block coding (STBC)

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Mental arithmetic task load recognition using EEG signal and Bayesian optimized K-nearest neighbor

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International Journal of Information technology (Singapore) 2021年第6期13卷 2363-2369页

作者： Sharma, Lakhan Dev Chhabra, Himanshu Chauhan, Urvashi Saraswat, Ritesh Kumar Sunkaria, Ramesh Kumar School of Electronics Engineering VIT-AP University Amaravati India Electronics and Communication Engineering M.L.V. Textile and Engineering College Bhilwara India Instrumentation and Control Engineering Division Netaji Subhas University of Technology Delhi India Electronics and Communication Engineering Dr. B. R. Ambedkar National Institute of Technology Jalandhar India

Cognitive load recognition during mental arithmetic activity facilitates to observe and identify the brain’s response towards stress stimulus. As a result, an efficient mental load characterization approach using electroencephalogram (EEG) signal and Bayesian optimized K-Nearest Neighbor (BO-KNN) has been proposed in this work. The study has been conducted on a recorded EEG dataset of 30 healthy subjects who were exposed to an arithmetic questioner. To obtain artifacts free EEG signal, the Savitzky–Golay filtering approach has been utilized. Further, the decomposition of the extracted EEG signal has been carried out using stationary wavelength transform. In this work, the entropy based feature extraction has been performed followed by F-score based feature selection. Top 40 features having the highest precedence have been used for classification using BO-KNN. The rigorous experimental analysis has been performed to analyze the effectiveness of the proposed method over other state-of-the-art methods and it shows that the classification accuracy is substantially improved. © 2021, Bharati Vidyapeeth's institute of Computer Applications and Management.

关键词： Bayesian optimized K-nearest neighbor (BO-KNN) Cognitive task EEG Stationary wavelet transformation

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A Two-Stage Robust Scheduling Strategy for Multi-Energy Microgrid Considering Multiple Uncertainties

A Two-Stage Robust Scheduling Strategy for Multi-Energy Micr...

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Power Energy Systems and Applications (ICoPESA), International Conference on

作者： Sen Zhang Weihao Hu Xilin Cao Yincheng Zhao Rundong Liu Haojie Ma Wei Zhan Mingxuan Li Sichuan Provincial Key Lab of Power System Wide Area Measurement and Control School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu China School of Management and Economics Beijing Institute of Technology Beijing China SPIC Southwest Energy Research Institute Chengdu China

ISBN: (数字)9798350351668

ISBN: (纸本)9798350351675

To achieve the economic operation of a multi-energy micro grid under multiple uncertain environments, this study introduces a novel two-stage robust scheduling approach, encompassing both day-ahead planning and real-time adjustments. First, the multi-energy micro grid day-ahead economic dispatch model is constructed based on the prediction scenarios, and integrated demand response is considered to increase the flexibility of the system. Afterwards, the strategy is adjusted in the real-time phase, considering the uncertainty of energy production and consumption. The Column-and-Constraint Generation algorithm is employed to resolve the above two-stage issues effectively, and the optimal economic operation strategy of the MEMG is obtained. Finally, a case study demonstrates the economy and robustness of the proposed methodology.

关键词： Uncertainty Costs Energy resolution Production Microgrids Predictive models Prediction algorithms Real-time systems Robustness Planning

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基于自解耦三明治结构的横向运动栅场效应晶体管MEMS微力传感器

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engineering 2023年第2期21卷 61-74,M0004页

作者：高文迪乔智霞韩香广王小章 Adnan Shakoor 刘存朗卢德江杨萍赵立波王永录王久洪蒋庄德孙东 State Key Laboratory for Manufacturing Systems Engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement TechnologiesOverseas Expertise Introduction Center for Micro/Nano Manufacturing and Nano Measurement Technologies Discipline InnovationXi’an Jiaotong University(Yantai)Research Institute for Intelligent Sensing Technology and SystemSchool of Mechanical EngineeringXi’an Jiaotong UniversityXi’an 710049China Shandong Laboratory of Yantai Advanced Materials and Green Manufacturing Yantai 265503China Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of TechnologyBeijing 100081China State Key Laboratory of Robotics and Systems Harbin Institute of TechnologyHarbin 150006China Eleventh Research Institute Sixth Academy of China Aerospace Science and Technology Co.Xi’an 710100China Department of Control and Instrumentation Engineering King Fahd University of Petroleum and MineralsDhahran 31261Saudi Arabia Department of Biomedical Engineering City University of Hong KongHong Kong 999077China

本文介绍了一种基于横向可移动栅极场效应晶体管(LMGFET)的新型微型力传感器的开发。提出了一种精确的电气模型,用于小型LMGFET器件的性能评估,与以前的模型相比,其精度有所提高。采用了一种新型三明治结构,该结构由一个金交叉解耦栅阵... 详细信息

本文介绍了一种基于横向可移动栅极场效应晶体管(LMGFET)的新型微型力传感器的开发。提出了一种精确的电气模型,用于小型LMGFET器件的性能评估,与以前的模型相比,其精度有所提高。采用了一种新型三明治结构,该结构由一个金交叉解耦栅阵列层和两个软光阻层SU-8组成。通过所提出的双差分传感结构,LMGFET横向工作在垂直干扰下的输出电流被大大消除,所提出传感器的相对输出误差从4.53%(传统差分结构)降低到0.01%。提出了一种实用的传感器制造工艺,并对其进行了模拟。基于LMGFET的力传感器的灵敏度为4.65μA·nN^(-1),可与垂直可移动栅极场效应晶体管(VMGFET)器件相媲美,但非线性度提高了0.78%,测量范围扩大了±5.10μN。这些分析为LMGFET器件的电气和结构参数提供了全面的设计优化,并证明了所提出的传感器在生物医学显微操作应用中具有良好的力传感潜力。

关键词：力传感器场效应晶体管横向运动三明治结构电气模型显微操作非线性度双差分

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