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Swarm-Based Dynamic Coverage of Multi-ASV Systems in the Presence of Measurement Noises

IEEE Transactions on Vehicular technology 2025年第5期74卷 7237-7250页

作者： Liu, Lu Jiao, Shijian Han, Bing Li, Tieshan Peng, Zhouhua Dalian Maritime University School of Marine Electrical Engineering Dalian116026 China Dalian Key Laboratory of Swarm Control and Electrical Technology for Intelligent Ships Dalian116026 China State Key Laboratory of Maritime Technology and Safety Dalian116026 China Shanghai Ship and Shipping Research Institute National Engineering Research Center of Ship & Shipping Control System Shanghai200135 China University of Electronic Science and Technology of China School of Automation Engineering Chengdu611731 China

This paper is concerned with the dynamic coverage of multiple autonomous surface vehicles (ASVs) in the presence of static and dynamic obstacles, limited communication distance, and measurement noises. A modular control method including planning, guidance, and control is proposed. At the planning level, a swarm-based dynamic coverage strategy is developed to achieve the coverage of a given domain. Both the collision avoidance and connectivity preservation issues are solved by using artificial potential fields. At the kinematic level, novel adaptive line-of-sight guidance laws are presented based on cascade extended state observers (CESOs), such that accurate guidance signals are given by compensating for time-varying sideslip angle and suppressing measurement noises. At the kinetic level, two CESOs are developed to estimate the internal model uncertainties and external environmental disturbance, and antidisturbance kinetic control laws are designed subsequently. The proposed CESOs overcome the noises sensitivity problem of classical observers, and thus facilitate the practical implementation under measurement noises. The input-to-state stability of the closed-loop system is confirmed by the Lyapunov theory and cascade stability theory. Simulation and hardware-in-the-loop experiment results are provided to demonstrate the effectiveness of the proposed swarm-based dynamic coverage method. © 1967-2012 IEEE.

关键词： Velocity measurement

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Deep learning fault diagnosis method for rolling bearings in rolling mills based on improved optimization algorithm 3

Deep learning fault diagnosis method for rolling bearings in...

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3rd International Conference on Advanced Algorithms and Signal Image Processing, AASIP 2023

作者： Liang, Yuqi Boyuan, Luan National Engineering Research Center for Green Coating Technology and Equipment Lanzhou Jiaotong University Lanzhou Gansu China Key Laboratory of Optoelectronic Technology and Intelligent Control Ministry of Education Lanzhou Jiaotong University Lanzhou Gansu China

ISBN: (纸本)9781510668522

In recent years, intelligent fault diagnosis methods based on deep learning have achieved remarkable results in both theoretical research and engineering applications, and rolling bearings are one of the core components of rolling mills, and accurate fault diagnosis of rolling mill bearings can effectively guarantee the safe operation and production efficiency of rolling mill equipment. The current deep learning-based fault diagnosis methods are usually unstable in the training process and the models are difficult to converge, resulting in strong randomness in engineering applications. Optimized algorithms are therefore key to the training of deep learning models. Different optimized algorithms have different effects on the stability of training. The choice of learning rate is also crucial, as a large learning rate may lead to unstable training. In addition, regular techniques can also be used to improve the stability of training. This paper proposes a deep fault diagnosis method for rolling mill bearings based on an improved optimized algorithm, which improves the training efficiency, the stability of the model output results and the robustness of the model with respect to parameter changes while ensuring the diagnostic accuracy of the model. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Failure analysis

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Stability Analysis of Distributed Optimization for Multi-agent Systems Under Time-Varying Digraphs 5th

Stability Analysis of Distributed Optimization for Multi-age...

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5th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2021

作者： Bian, Fusheng Chen, Mingfei Wang, Zhu Wang, Dong The Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian China

ISBN: (纸本)9789811939976

This paper investigates a distributed convex optimization problem for multi-agent systems over time-varying directed communication topologies. To explore this problem, the differential inclusion strategy is used to model the time-varying situation, and the average dwell-time automaton and the time-ratio monitor are utilized to constrain the switching law. Ground on these constraints and using the Lyapunov stability analysis method, our proposed algorithm converges exponentially to the optimal solution over time-varying digraphs. Finally, some simulation results are reported to illustrate the proposed algorithm. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Multi agent systems

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Study of stochastic resonance parameters optimization of multiple-frequency weak signals based on Bat algorithm 5

Study of stochastic resonance parameters optimization of mul...

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5th International Conference on Electronics and Communication, Network and Computer technology, ECNCT 2023

作者： Xie, Zikang Zhang, Hongxin Wang, Yanchao Xie, Ziyang Sun, Miao Tian, Liguo Tianjin University of Technology and Education China Tianjin Key Laboratory of Information Sensing Intelligent Control Tianjin China

ISBN: (纸本)9798350328660

Stochastic resonance algorithm is widely used to process weak noisy signals with a single frequency. In practice, mostly signals consist of multiple target frequencies, so stochastic resonance has certain limitations on processing multi-frequency signals. Adaptive adjustment of stochastic resonance parameters according to the target signal frequency is the critical factor in efficiently processing weak multi-frequency signals. The simulation results show that the bat algorithm can be applied to optimize the structural parameters of the bi-stable stochastic resonance system. Aiming at the difference of multiple-frequency signals, the bat algorithm can find the optimal function parameters through realizing algorithm iteration, and realize the efficient processing of multiple-frequency weak signals. © 2023 IEEE.

关键词： Magnetic resonance

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Dynamic Color Transform Networks for Wheat Head Detection

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Plant Phenomics 2022年第1期4卷 395-408页

作者： Chengxin Liu Kewei Wang Hao Lu Zhiguo Cao Key Laboratory of Image Processing and Intelligent Control Ministry of EducationSchool of Artificial Intelligence and AutomationHuazhong University of Science and TechnologyWuhanChina

Wheat head detection can measure wheat traits such as head density and head *** wheat breeding largely relies on manual observation to detect wheat heads,yielding a tedious and inefficient *** emergence of affordable camera platforms provides opportunities for deploying computer vision(CV)algorithms in wheat head detection,enabling automated measurements of wheat *** wheat head detection,however,is challenging due to the variability of observation circumstances and the uncertainty of wheat head *** this work,we propose a simple but effective idea—dynamic color transform(DCT)—for accurate wheat head detection.

关键词： Wheat breeding wheat

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Self-calibrated stacked hourglass for human pose estimation 5

Self-calibrated stacked hourglass for human pose estimation

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5th International Conference on Frontiers technology of Information and Computer, ICFTIC 2023

作者： Tang, Tiannan Tan, Guangxing Yi, Tong Guangxi University of Science and Technology Liuzhou Key Laboratory of Intelligent Sensing and Control College of Automation Liuzhou China

ISBN: (纸本)9798350309034

In recent years, with the rapid development of deep learning algorithms such as CNN and RNN, human key point detection has been paid more and more attention. Human key point detection is always a research difficulty in computer vision because it is easily affected by complex joint occlusion, body deformation or lighting environment changes. With the proposed stacked hourglass network, it has become the mainstream method in the field of key point detection in recent years because of its repeatable upsampling and downsampling, and the addition of intermediate supervision model. Based on the stacked hourglass network, this paper introduces the self-calibrated convolutional network in SCNet network and optimates the structure of the original stacked hourglass network, and proposes a new human key point detection method named Self-calibrated stacked hourglass (SCHNs). This method effectively reduces the problem of inaccurate local feature description in the existing stacked hourglass network, and weakens the interference of useless signals in the global information to local information. Our method is trained and tested on the MPII human pose estimation dataset, and the case studys on the MSCOCO dataset. its detection results can effectively solve the problems existing in the existing stacked hourglass network, and it is significantly improved compared with other network models. © 2023 IEEE.

关键词： human keypoints detection self-calibrating convolution Stacked hourglass networks

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Fault Line Selection of Resonant Grounding System Based on VMD and Genetic Simulated Annealing FCM Algorithm 24

Fault Line Selection of Resonant Grounding System Based on V...

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8th International Conference on Algorithms, Computing and Systems, ICACS 2024

作者： Zhang, Yi Geng, Pulong Zhao, Senhao Wei, Qi Gao, Xi Shanxi Key Laboratory of Mining Electrical Equipment and Intelligent Control Taiyuan University of Technology Taiyuan China Jinneng Holdings Equipment Manufacturing Group Technology Center Jincheng China

ISBN: (纸本)9798400718304

In this paper, a method of single-phase grounding fault line selection based on high frequency energy proportion of zero sequence current and polarity clustering is proposed. According to the energy proportion of the high frequency components of zero sequence current extracted by VMD in the first 1/4 cycle, and combined with the first half-wave polarity of zero sequence current, a synthetic feature matrix is constructed to characterize the fault characteristics of transient zero-sequence current. The fault lines are identified by genetic simulated annealing Fuzzy C-means clustering(FCM) algorithm without threshold setting. Using RTDS/ RSCAD to build a 10kV distribution network system model, different fault conditions are simulated and tested. The results show that the method can achieve accurate and reliable line selection for the possible influencing factors in engineering practice. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Simulated annealing

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Elastic wave propagation and attenuation characteristics of roof fracture source

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Geomechanics and Engineering 2025年第4期40卷 295-305页

作者： Zhang, Peng-Fei Zhao, Tong-Bin Gong, Xu-Fei Tan, Yan Guo, Chuan-Qing College of Energy and Mining Engineering Shandong University of Science and Technology Qingdao266590 China State Key Laboratory of Mining Disaster Prevention and Control Co-founded by Shandong Province and the Ministry of Science and Technology Shandong University of Science and Technology Qingdao266590 China Shandong Key Laboratory of Intelligent Prevention and Control of Dynamic Disaster in Deep Mines Shandong University of Science and Technology Qingdao266590 China Energy Group Co. Ltd. Jining No.2 Coal Mine Jining272012 China

Abstract. The propagation attenuation law of elastic waves generated by rock mass fractures in strata is of great significance in explaining engineering problems, such as rock bursts. In this study, a wave velocity model was established based on the actual stratum conditions of the Jining No.2 coal mine in China. The propagation process of different types of elastic waves is simulated using the elastic wave equation and finite difference method. The attenuation coefficients of various elastic wave parameters propagating at different positions were calculated. Based on the calculated results, an attenuation equation for the elastic wave energy is proposed. The results show that the propagation of S-waves and P-waves in strata is similar to each other, and wave pattern transformation occurs at the interface of the strata. The magmatic rocks played a role in channeling and reflecting elastic wave propagation, leading to the occurrence of low-energy aftershocks in the coal seams. The peak displacement, peak stress, and energy density of the elastic wave that propagated to the coal seam after the siltstone layer fracture of the roof of the 3down coal seam decreased to 28%, 25%, and 9% of the source, respectively. The attenuation of elastic wave energy is highly correlated with the propagation distance, and the attenuation equation can be represented as an exponential function. These results are of great significance for revealing the propagation attenuation process of elastic waves in the stratum. © 2025 Techno-Press, Ltd.

关键词： Exponential functions

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NO_(2) gas sensor with high selectivity and fast response based on Pt-loaded nanoporous GaN

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International Journal of Minerals,Metallurgy and Materials 2025年第4期32卷 964-972页

作者： Dan Han Xiaoru Liu Donghui Li Jiexu Shi Yu Wang Yuxuan Wang Hongtao Wang Shengbo Sang Shanxi Key Laboratory of Micro/Nano Sensors&Artificial Intelligence Perception College of Integrated CircuitsTaiyuan University of TechnologyTaiyuan030024China Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education Taiyuan University of TechnologyTaiyuan 030024China Shanxi Research Institute of 6D Artificial Intelligence Biomedical Science Taiyuan 030032China

In this work,we realized a room-temperature nitrogen dioxide(NO_(2))gas sensor based on a platinum(Pt)-loaded nanoporous gallium nitride(NP-GaN)sensing material using the thermal reduction method and coreduction with the catalysis of *** gas sensor gained excellent sensitivity to NO_(2) at a concentration range of 200 ppm to 100 ppb,benefiting from the loading of Pt nanoparticles,and exhibited a short response time(22 s)and recovery time(170 s)to 100 ppm of NO_(2) at room temperature with excellent selectivity to NO_(2) compared with other *** phenomenon was attributed to the spillover effect and the synergic electronic interaction with semiconductor materials of Pt,which not only provided more electrons for the adsorption of NO_(2) molecules but also occupied effective sites,causing poor sites for other *** low detection limit of Pt/NP-GaN was 100 ppb,and the gas sensor still had a fast response 70 d after ***,the gas-sensing mechanism of the gas sensor was further elaborated to determine the reason leading to its improved *** significant spillover impact and oxygen dissociation of Pt provided advantages to its synergic electronic interaction with semiconductor materials,leading to the improvement of the gas properties of gas sensors.

关键词： nanoporous gallium nitride platinum nitrogen dioxide gas sensor

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Dynamic and Static Simulation Analysis and Optimisation Design of DC220V Permanent Magnetic Detacher 7

Dynamic and Static Simulation Analysis and Optimisation Desi...

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

作者： Dai, Dongyun Zhuo, Kaicai You, Yimin Wang, Xiankun Wang, Xu School of Electrical Engineering and Automation Xiamen University of Technology Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control Xiamen China

ISBN: (纸本)9798350388947

In order to solve the problems of too long action time and low action reliability of electromagnetic type tripping release of vacuum circuit breaker. This paper researches and designs a kind of rated control voltage is DC220V, tripping action time is less than 15ms, tripping current is less than 2A permanent magnetic detacher. Firstly, Solidworks software is applied to establish the 3D model of the permanent magnet detacher and simplify the model. Considering the key components of the permanent magnet detacher, Maxwell simulation software is applied to analyze the dynamic and static simulation of the permanent magnet detacher, which finally meets the design requirements and is verified by tests. The test results show that the designed permanent magnetic detacher can shorten the breaking time of vacuum circuit breaker from the original 30ms to less than 15ms under its rated control voltage. The research results of this thesis can provide guidance for the simulation and optimization design of permanent magnet detacher, which has certain engineering application value. © 2024 IEEE.

关键词： Permanent magnets

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