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Research and application of composite stochastic resonance in enhancement detection

Chinese Physics B 2024年第1期33卷 264-273页

作者：高蕊焦尚彬薛琼婕 School of Automation and Information Engineering Xi'an University of TechnologyXi'an 710048China School of Electronic and Electrical Engineering Baoji University of Arts and SciencesBaoji 721016China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of TechnologyXi'an 710048China

Aiming at the problem that the intermediate potential part of the traditional bistable stochastic resonance model cannot be adjusted independently, a new composite stochastic resonance(NCSR) model is proposed by combining the Woods–Saxon(WS) model and the improved piecewise bistable model. The model retains the characteristics of the independent parameters of WS model and the improved piecewise model has no output saturation, all the parameters in the new model have no coupling characteristics. Under α stable noise environment, the new model is used to detect periodic signal and aperiodic signal, the detection results indicate that the new model has higher noise utilization and better detection ***, the new model is applied to image denoising, the results showed that under the same conditions, the output peak signal-to-noise ratio(PSNR) and the correlation number of NCSR method is higher than that of other commonly used linear denoising methods and improved piecewise SR methods, the effectiveness of the new model is verified.

关键词： Woods–Saxon improved piecewise model composite stochastic resonance(SR) image denoising

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Data-Driven Group Formation control of Cyber-Physical Systems via Distributed Cloud Computing

IEEE Transactions on Industrial Cyber-Physical Systems

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IEEE Transactions on Industrial Cyber-Physical Systems 2025年 3卷 341-350页

作者： Ren, Hongru Long, Yinren Li, Hongyi Huang, Tingwen Guangdong University of Technology School of Automation Guangdong-Hong Kong Joint Laboratory for Intelligent Decision and Cooperative Control Guangdong Provincial Key Laboratory for Intelligent Decision and Cooperative Control Guangzhou510006 China Southwest University College of Electronic and Information Engineering Chongqing400715 China Shenzhen University of Advanced Technology Faculty of Computer Science and Control Engineering Shenzhen518055 China

This paper investigates the group formation control problem for cyber-physical systems (CPSs) with random communication constraints. The distributed cloud computing system is constructed to divide agents into groups and establish communication between agents. A data-driven predictive control strategy is proposed by combining networked predictive control and model-free adaptive control method. The desired group formation control performance can be achieved and the three-channel random communication constraints of CPSs are actively compensated. Thisstrategy does not require the system model and relies solely on the system's I/O data for adaptive learning. Further analyses concludes the conditions for simultaneous reach stability and group formation of the closed-loop CPSs using the data-driven predictive control strategy. The effectiveness of the proposed strategy is validated by simulation results. © 2023 IEEE.

关键词： Distributed cloud

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Efficient Clustering Routing Algorithm for Wireless Sensor Networks Based on Collaborative Optimization 6

Efficient Clustering Routing Algorithm for Wireless Sensor N...

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6th International Conference on electronic Engineering and Informatics, EEI 2024

作者： Ma, Chenlong Ling, Xiaoming Liu, Yanshan Zhang, Zhen Lanzhou Jiaotong University Key Laboratory of Opto-electronic Technology and Intelligent Control of Ministry of Education Lanzhou730070 China National Engineering Research Center for Technology and Equipment of Environmental Deposition Lanzhou Jiaotong University Lanzhou730070 China

ISBN: (纸本)9798350353594

To address the rapid energy depletion and short network lifespan in traditional clustering protocols for wireless sensor network (WSN), specifically the Low Energy Adaptive Clustering Hierarchy (LEACH), this paper introduces a collaborative LEACH protocol (C-LEACH). The proposed protocol refines the cluster head election threshold by incorporating the nodes' residual energy, neighbor count, and distance to the base station, optimizing the probability of a node being selected as a cluster head. Secondly, nodes compute the cost function by considering the cluster head's energy, the number of neighboring nodes, and the distance to them, ensuring an optimal and scientific selection of the cluster head. Finally, regarding the transmission method, the cluster head communicates with the base station through collaboration among individual cluster heads based on their distance from the base station, reducing the energy consumption of the cluster head. The results show that the C-LEACH protocol extending the network life cycle by 144.3% and 97.4% compared to LEACH and ILEACH, respectively, thereby reducing energy consumption and extending the network's operational time. © 2024 IEEE.

关键词： Cost functions

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Multi-Time-Scale Variational Mode Decomposition-Based Robust Fault Diagnosis of Railway Point Machines Under Multiple Noises

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Chinese Journal of electronics 2024年第3期33卷 814-822页

作者： Junqi LIU Tao WEN Guo XIE Yuan CAO Clive Roberts Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology The School of Electronic and Information Engineering Beijing Jiaotong University Birmingham Centre for Railway Research and Education University of Birmingham

The fault diagnosis of railway point machines(RPMs) has attracted the attention of engineers and *** have studies considered diverse noises along the *** fulfill this aspect,a multi-time-scale variational mode decomposition(MTSVMD) is proposed in this paper to realize the accurate and robust fault diagnosis of RPMs under multiple *** decomposes condition monitoring signals after coarse-grained processing in varying *** this manner,the information contained in the signal components at multiple time scales can construct a more abundant feature space than at a single *** the experimental validation,a random position,random type,random number,and random length(4R) noise-adding algorithm helps to verify the robustness of the *** adequate experimental results demoristrate the superiority of the proposed MTSVMD-based fault diagnosis.

关键词： Railway point machines Fault diagnosis Multi-time-scale Variational mode decomposition

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Distributed Group Coordination of Random Communication Constrained Cyber-Physical Systems Using Cloud Edge Computing

IEEE Transactions on Industrial Cyber-Physical Systems

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IEEE Transactions on Industrial Cyber-Physical Systems 2024年 2卷 196-205页

作者： Ren, Hongru Long, Yinren Ma, Hui Li, Hongyi Guangdong University of Technology School of Automation Guangdong-Hong Kong Joint Laboratory for Intelligent Decision and Cooperative Control Guangdong Provincial Key Laboratory for Intelligent Decision and Cooperative Control Guangzhou510006 China Guangdong University of Technology School of Mathematics and Statistics Guangzhou510006 China Southwest University College of Electronic and Information Engineering Chongqing Key Laboratory of Generic Technology and System of Service Robots Chongqing400715 China

This paper studied the distributed group coordinated control problem of cyber-physical systems (CPSs) with multi-agent architecture. We build the distributed networked multi-group agent systems (NMGASs) with nonlinear and unknown dynamics via cloud edge computing. The common and challenging situations of random communication constraints in CPSs are considered, including network-induced delay, packet dropout, and packet disorder, which are treated as round-trip time (RTT) delay. To actively compensate for RTT delay and achieve coordination among all agents, a data-driven cloud edge predicted control strategy is designed. This strategy only needs to obtain the I/O measurement data of the systems, and can automatically carry out adaptive learning, which has more extensive application scenarios compared to model-based control methods. Theoretical analysis yields the conditions of simultaneous stability and consensus of the closed-loop systems with the proposed strategy. Finally, the practical examples are provided to illustrate the effectiveness of the proposed strategy. © 2023 IEEE.

关键词： Edge computing

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Comparison of electromagnetic exposure for passengers at different positions on the subway platform 2

Comparison of electromagnetic exposure for passengers at dif...

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2nd International Conference on electronic Materials and Information Engineering, EMIE 2022

作者： Li, Jin Lu, Mai Key Laboratory of Opto-Electronic Technology and Intelligent Control Ministry of Education Lanzhou Jiaotong University Gansu Lanzhou China

ISBN: (纸本)9781713865629

To evaluate the safety of electromagnetic exposure for passengers at different positions on the subway platform, the High Frequency Structure Simulator software is used to establish the exposure source, i.e., the leakage coaxial cable model and the adult and child passenger models. Three waiting positions (A, B and C) with an interval of 1.5 m are selected on the subway platform. The distribution of the specific absorption rate of the adult and child passengers at different waiting positions was calculated at 900 MHz. Results show that among the three locations, the maximum SAR values in the adult and child bodies appear at position A nearest to the exposure source, which are 1.5859×10-7 and 1.0854×10-7 W/kg, respectively. According to the comparison of the SAR distribution between the adult and the child at positions A and C, the SAR values in the child's brain tissue are 4.98 and 2.80 times higher than those of the adult, respectively. The simulation results are well below the International Commission on Non-Ionizing Radiation Protection limits for the general public, indicating that the adult and child passengers do not suffer health risks under the electromagnetic exposure emitted by the leaky coaxial cable on the subway platform. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Computer software

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Distributed model-free adaptive predictive control of traffic lights for multiple interconnected intersections

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Science China(Information Sciences) 2023年第9期66卷 98-99页

作者： Xinfeng RU Chenyi MEI Weiguo XIA Peng SHI Key Laboratory of Intelligent Control and Optimization for Industrial Equipment(Dalian University of Technology) Ministry of Education School of Electrical and Electronic Engineering The University of Adelaide Research and Innovation Centre Obuda University

Over the last few decades, urban traffic congestion has been an out-of-control issue globally. Several well-known micromodeling traffic control strategies have been developed for traffic light control. Previous work [... 详细信息

关键词： Fuel economy

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Target extraction based on hybrid domain features of array GM-APD lidar 10

Target extraction based on hybrid domain features of array G...

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10th Symposium on Novel optoelectronic Detection technology and Applications

作者： Zhang, Xin Li, Sining Sun, Jianfeng Jiang, Peng Jin, Haowei National Key Laboratory of Laser Spatial Information Institute of Opto-Electronic Harbin Institute of Technology Heilongjiang Harbin150001 China Zhengzhou Research Institute of Harbin Institute of Technology Henan Zhengzhou450000 China National Key Laboratory of Complex System Control and Intelligent Agent Cooperation Beijing100074 China

ISBN: (数字)9781510688155

ISBN: (纸本)9781510688148

This study proposes a target extraction algorithm for array GM-APD lidar based on hybrid domain features, designed to address the challenges of accurately extracting target region based on the image in complex scenes and high noise interference. We extracted the temporal features of the echo signals and transformed the echo signals into the image domain to enhance the information content and further extract image features. By integrating multi-view K-means clustering and AdaBoost classification methods, we introduced a dynamic weight adjustment mechanism and a region adjustment method based on a correlation coefficient to achieve pixel-type discrimination and target region extraction. Experimental results demonstrate that the proposed method exhibits good robustness and adaptability in complex detection environments. Under conditions of different occlusion, different signal-to-noise ratios, and different target reflectivity, the proposed algorithm significantly outperforms traditional region-growing segmentation methods in terms of accuracy of target region extraction. © 2025 SPIE.

关键词： K-means clustering

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Real-time litchi detection in complex orchard environments: A portable, low-energy edge computing approach for enhanced automated harvesting

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Artificial Intelligence in Agriculture 2024年第1期11卷 13-22页

作者： Zeyu Jiao Kai Huang Qun Wang Zhenyu Zhong Yingjie Cai Guangdong Key Laboratory of Modern Control Technology Institute of Intelligent ManufacturingGuangdong Academy of SciencesGuangzhouChina School of Economics and Management Beihang UniversityBeijingChina Department of Electronic Engineering The Chinese University of Hong KongHong Kong

Litchi,a succulent and perishable fruit,presents a narrow annual harvest window of under two *** advent of smart agriculture has driven the adoption of visually-guided,automated litchi harvesting ***,conventional approaches typically rely on laboratory-based,high-performance computing equipment,which presents challenges in terms of size,energy consumption,and practical application within litchi *** address these limitations,we propose a real-time litchi detection methodology for complex environments,utilizing portable,low-energy edge computing ***,the litchi orchard imagery is collected to enhance data ***,a convolutional neural network(CNN)-based single-stage detector,YOLOx,is constructed to accurately pinpoint litchi fruit locations within the *** facilitate deployment on portable,low-energy edge devices,we employed channel pruning and layer pruning algorithms to compress the trained model,reducing its size and ***,the knowledge distillation technique is harnessed to fine-tune the *** findings demonstrated that our proposed method achieved a 97.1%compression rate,yielding a compact litchi detection model of a mere 6.9 MB,while maintaining 94.9%average precision and 97.2%average *** 99 frames per second(FPS),the method exhibited a 1.8-fold increase in speed compared to the unprocessed ***,our approach can be readily integrated into portable,low-computational automatic harvesting equipment,ensuring real-time,precise litchi detection within orchard settings.

关键词： Litchi detection Automated harvesting Edge computing Neural networks Model compression

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Study of Double Degree of Freedom Solar Arrays control for Inclined-orbit Spacecraft

Study of Double Degree of Freedom Solar Arrays Control for I...

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2024 China Automation Congress, CAC 2024

作者： Peng, Rui Bai, Jiaxiang Zhu, Bin Cheng, Zhaoyang Zhang, Zhouburan Shanghai Aerospace Control Technology Institute Shanghai China Shanghai Key Laboratory of Aerospace Intelligent Control Technology Shanghai China Shanghai Xinyuelianhui Electronic Technology Co LTD Shanghai China

ISBN: (纸本)9798350368604

The spacecraft is powered by solar arrays. Solar arrays control problem for Inclined-orbit spacecraft, which has double degree freedom, is investigated in this paper. By analyzing the variation law of solar height angle, a double degree of freedom solar arrays control algorithm is designed, and the earth-oriented mode and attitude bias mode are studied respectively. Finally, by analyzing the data from the simulation test on the ground and the in-orbit test, it can be concluded that the proposed method is simple and feasible, and can ensure that the accuracy of solar panels orientation towards the sun remains within the allowable range for an extended period. In addition, the approach presented in this work can serve as a guide for the overall design of inclined orbit spacecraft aimed for an extended lifetime. © 2024 IEEE.

关键词： Orbits

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