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6th IEEE Advanced Information Management, Communicates, Electronic and Automation control Conference, IMCEC 2024

作者： Teng, Meng Tian, Liguo Li, Meng Tianjin University of Technology and Education College of Computer Science and Technology Tianjin China Tianjin University of Technology and Education Tianjin Key Laboratory of Information Sensing & Intelligent Control Tianjin China

ISBN: (纸本)9798350316520

Since the plant electrical signal is a low-frequency and weak electrical signal, it is susceptible to the surrounding acoustic noise and electromagnetic interference, and most of it is distributed in the high-frequency part of the electrical signal. In order to facilitate the collection of plant electrical signals, an embedded-based plant electrical signal collection terminal is designed. Through circuit testing and simulation, the plant electrical signal collection terminal can collect plant electrical signals at the μV level, the plant electrical signal collection terminal uses platinum contact electrodes to collect data from the object, and then amplifies, filters and other methods of collecting data through the signal collection unit and stores them in the data storage unit through the processing of the embedded master control unit to form a local data storage unit. The collected data are amplified and filtered through the signal acquisition unit, and then stored in the data storage unit through the embedded main control unit to form a local database for data management and data query, and at the same time, the collected data are transmitted to the PC through the WIFI communication unit to facilitate the data processing by MATLAB. The device has been verified by the acquisition of electric signals of Aloe vera, which has a certain significance and practical value for the research of the acquisition of plant electric signals. © 2024 IEEE.

关键词： MATLAB

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Infrared Duplicate Video Cleaning Method Based on Improved YOLOv7 5

Infrared Duplicate Video Cleaning Method Based on Improved Y...

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5th International Conference on Computer Vision, Image and Deep Learning, CVIDL 2024

作者： Hu, Yiwen Hu, Yutong Zhang, Yong Liu, Tongyu Gong, Hua Shenyang Ligong University College of Science Shenyang China National Key Laboratory of Electromagnetic Space Security Tianjin China Liaoning Key Laboratory of Intelligent Optimization and Control for Ordnance Industry Shenyang China

ISBN: (纸本)9798350373820

Infrared video data is widely applied in military, transportation, security monitoring, and law enforcement. However, the equipment used for collecting and processing data often generates a significant amount of duplicate data that can negatively impact the quality of the infrared data. To address this issue and improve the quality of infrared data, we propose an improved YOLOv7 network in this paper. Our network, named AGT-ASPP-SimAM-YOLOv7, utilizes the adaptive grayscale transform (AGT) technique to enhance the contrast and brightness of infrared images. Additionally, we introduce the atrous spatial pyramid pooling (ASPP) module to fuse multi-scale feature information and the simple parameter-free attention module (SimAM) to dynamically assign feature weight. We also construct the SYLU infrared duplicate video dataset (SYLUIDVD), which includes complex backgrounds such as mountains, sky, and buildings. Experimental results show that the AGTASPP-SimAM-YOLOv7 network has the highest cleaning accuracy compared to VGG19, ResNet18, VGG16, and YOLOv7. © 2024 IEEE.

关键词： Image enhancement

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Robust Target Detection and Localization for UAV Autonomous Landing with Partially Occluded Targets 15th

Robust Target Detection and Localization for UAV Autonomous ...

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15th International Conference on Genetic and Evolutionary Computing, ICGEC 2023

作者： Shao, Mingmei Liu, Yanyan Tang, Jiaze Liu, Huanyu Li, Junbao Faculty of Computing Harbin Institute of Technology Harbin150080 China National Key Laboratory of Electromagnetic Space Security Tianjin300308 China Electrical Measurement Technology and Intelligent Control Institute School of Instrumentation Science and Engineering Harbin Institute of Technology Harbin150080 China

ISBN: (纸本)9789819700677

This paper presents an approach for robust target detection and localization in the context of UAV autonomous landing with partially occluded targets. Since the performance of the autonomous landing system largely depends on the accurate detection and positioning of the landing target, it is very important to deal with the local occlusion caused by obstacles or environmental factors. In order to improve the overall performance of the system, we propose a fault-tolerant target detection method and target completion strategy. The proposed target detection method combines image processing technology with feature extraction algorithm, which can recognize and locate the landing target even in the case of occlusion. The target completion strategy aims to recover the missing part of the occluded target and make the detection and location algorithm execute more reliably. We perform experiments on image data sets with different horizontal object occlusion to evaluate the performance of the proposed method. The results show that our method successfully detects and locates the landing target under different occlusion levels, and significantly improves the performance of UAV autonomous landing system in the real scene. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Unmanned aerial vehicles (UAV)

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Competitive Meta-Learning

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IEEE/CAA Journal of Automatica Sinica 2023年第9期10卷 1902-1904页

作者： Boxi Weng Jian Sun Gao Huang Fang Deng Gang Wang Jie Chen National Key Laboratory of Autonomous Intelligent Unmanned Systems Beijing Institute of TechnologyBeijing 100081 Beijing Institute of Technology Chongqing Innovation Center Chongqing 401120China School of Automation Tsinghua UniversityBeijing 100084China Department of Control Science and Engineering Tongji UniversityShanghai 201804 National Key Laboratory of Autonomous Intelligent Unmanned Systems Beijing Institute of TechnologyBeijing 100081China IEEE

Dear Editor,This letter is concerned with developing meta-learning models for fast,stable,and effective few-shot learning across tasks over a few training ***,deep and reinforcement learning(RL)is widely used in auton... 详细信息

关键词： robot autonomous concerned

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Kinematic Parameter Identification of Industrial Robots Based on an Improved Zebra Algorithm 16th

Kinematic Parameter Identification of Industrial Robots Base...

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16th International Conference on Modelling, Identification and control, ICMIC 2024

作者： Zhou, Houchen Gao, Guanbin Wang, Xi Faculty of Mechanical and Electrical Engineering Kunming University of Science and Technology Kunming650500 China Yunnan Key Laboratory of Intelligent Control and Application Kunming650500 China

ISBN: (纸本)9789819617760

Kinematic calibration is one of the main methods to improve the absolute positioning accuracy of industrial robots. Parameter identification is the primary step in determining the calibration effect. However, due to the large number of kinematic parameters of industrial robots and the complex coupling between parameters, the existing parameter identification methods easily fall into local optimal solutions, and it is difficult to obtain accurate kinematic parameters. Therefore, this paper proposes a Particle Swarm Somersault Foraging Zebra Optimization Algorithm (PSSFZOA) for kinematic parameter identification of industrial robots. The proposed PSSFZOA introduces the foraging strategy into the Zebra Optimization Algorithm (ZOA) and linearizes the kinematic error model so that it does not fall into the local optimum in the later stage of optimization, and improves the population diversity in the early stage. In the first stage of the algorithm, the particle swarm strategy is used to provide local optimal particles, which ensures that the algorithm achieves a balance between global search and local search. It has both the ability of deep search and the diversity of breadth search better to find the best in the complex search space. Simulations are carried out to verify the effectiveness of the method. The results show that compared with the existing Grey Wolf Optimization (GWO) and ZOA, the PSSFZOA can avoid falling into local optimum prematurely, accelerate the convergence speed of the algorithm, and improve the absolute positioning accuracy of the industrial robot after parameter identification. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Industrial robots

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Unicast Beamforming in the Presence of a Smart Reactive Jammer: A Stackelberg Game Approach 24

Unicast Beamforming in the Presence of a Smart Reactive Jamm...

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24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023

作者： Shi, Bai Shao, Huaizhong Lin, Jingran Zhai, Zhikai University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu China Laboratory of Electromagnetic Space Cognition and Intelligent Control Beijing100083 China Peng Cheng Laboratory Shenzhen518055 China

ISBN: (纸本)9781665496261

The malicious jamming attacks will disrupt legitimate public wireless communication systems, which has become a critical issue that must be considered in modern communication system design. This paper considers an anti-jamming unicast transmit beamforming problem with a smart reactive jammer. We model this problem as a Stackelberg game and formulate a bilevel optimization problem, in which the base station maximizes the minimum signal-to-interference-jamming-noise ratio (SIJNR) of legitimate users and the jammer minimizes the maximum SIJNR. This problem is quite challenging due to its hierarchical structure and nonconvexity. A penalty method is developed to solve this problem, which transforms it into a mathematical program with equilibrium constraint (MPEC) problem after implementing a tight semi-definite relaxation (SDR) method. The numerical results demonstrate its superior performance. © 2023 IEEE.

关键词： Beamforming

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spacecraft Attitude Coordination control Strategy for Rapid Construction of Laser Link

Spacecraft Attitude Coordination Control Strategy for Rapid ...

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International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Song, Ting Zhang, Xianliang Ning, Lei Pan, Xiao Shanghai Aerospace Control Technology Institute Shanghai201109 China Shanghai Key Laboratory of Space Intelligent Control Technology Shanghai201109 China Northwestern Polytechnical University Xi’an710068 China

ISBN: (纸本)9789811966125

A novel spacecraft attitude coordination control strategy for rapid construction of laser link in the gravitational wave detection mission was proposed in this paper. Uncertainty cone caused by the orbital navigation error would be reduced by adjusting the installation angle between the Star Tracker and Telescope with the method. Therefore, the number of laser scans will be reduced and the laser link build time will be shortened. Numerical results are presented to quantify the number of laser scans and to demonstrate the effectiveness of the control strategy. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Signal detection

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Game-Based Formation control with Collision Avoidance for on-Orbit Assembly

Game-Based Formation Control with Collision Avoidance for ...

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International Conference on Guidance, Navigation and control, ICGNC 2024

作者： Chai, Yuan Hao, Renjian Beijing Institute of Control Engineering Beijing100090 China Science and Technology on Space Intelligent Control Laboratory Beijing100190 China

ISBN: (纸本)9789819622313

In this paper, a distributed game-based formation control method for a set of assembly modules is proposed to form a desired configuration during on-orbit assembly. Considering different interests of individual assembly modules, formation control is modeled as a noncooperative game with control constraints and collision avoidance, where each module establishes its strategy to interact with other modules during the process of formation control. In order to get Nash equilibrium, the game problem is reformulated into a game problem in receding predictive horizon and simplified into Quadratic Programming (QP) formulation. An illustrative example is given to validate the effectiveness of the distributed game-based formation control method in tackling with the assembly of modules. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Collision avoidance Formation control Game theory On-orbit assembly

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Adaptive modification of turbofan engine nonlinear model based on LSTM neural networks and hybrid optimization method

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Chinese Journal of Aeronautics 2022年第9期35卷 314-332页

作者： Yanhua MA Xian DU Ximing SUN School of Microelectronics Dalian University of TechnologyDalian 116024China Key Laboratory of Intelligent Control and Optimization for Industrial Equipment Ministry of EducationDalian University of TechnologyDalian 116024China School of Control Science and Engineering Dalian University of TechnologyDalian 116024China

An accurate and reliable turbofan engine model which can describe its dynamic behavior within the full flight envelop and lifecycle plays a critical role in performance optimization, controller design and fault diagnosis. However, due to the performance differences caused by the tolerance of engine manufacturing and assembly, and performance degradation during continuously stringent environmental regulations, the model accuracy is severely reduced. In this paper, an adaptive modification method of turbofan engine nonlinear Component-Llevel Model(CLM) based on Long Short-Term Memory(LSTM) Neural Network(NN) and hybrid optimization algorithm is pro-posed. First, a dynamic compensator with a combined LSTM NN architecture is constructed to compensate for the initial error between the experimental data and CLM of a turbofan engine under health condition. Then, a sensitivity analysis approach based on the entropy coefficient and technique for order preference by similarity to an ideal solution integrated evaluation is developed to choose the unmeasurable health parameters to be adjusted. Finally, a parallel hybrid optimization algorithm is developed to complete the adaptive model modification when the performance degrades. The proposed method is verified on a military low-bypass twin-spool turbofan engine, and the experimental results show the effectiveness of the proposed method.

关键词： Hybrid optimization Long short-term memory Model modification and testing Sensitivity analysis Turbofan engines

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On-Chip Wideband Bandpass Filter with High Frequency Selectivity and Low Insertion Loss Based on GaAs Integrated Passive Device technology

On-Chip Wideband Bandpass Filter with High Frequency Selecti...

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2023 IEEE MTT-S International Wireless Symposium, IWS 2023

作者： Dong, Jiancheng Zhu, Xu Yang, Tao Nie, Yi Wang, Yong Research Center of Advanced Rf Chips and Systems Nanhu Laboratory Jiaxing314001 China Laboratory of Electromagnetic Space Cognition and Intelligent Control Technology Beijing100191 China University of Electronic Science and Technology of China Chengdu611731 China

ISBN: (纸本)9798350336535

In this paper, an on-chip wideband bandpass filter (BPF) with high frequency selectivity and low insertion loss is proposed using gallium arsenide (GaAs) integrated passive device (IPD) technology. Multiple transmission zeros can be provided by the capacitors loaded on the series and parallel LC resonators for the proposed design. Comparing with the state-of-the-art on-chip wideband BPFs, the proposed design has the advantages of high frequency selectivity and low loss. The final filter centered at 1.93 GHz with the 3-dB fractional bandwidth of 64.2% is demonstrated, which exhibits the excellent shape factor (30-dB BW/3-dB BW) of 1.28 and the minimum insertion loss of 1.17 dB. © 2023 IEEE.

关键词： Gallium arsenide

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