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2023 China automation Congress, CAC 2023

作者： Liu, Fang Li, Shiwei Chen, Congang Hu, Yutong Gong, Hua College of Science Shengyang Ligong University Liaoning Key Laboratory of Intelligent Optimization and Control for Ordnance Industry Shenyang110159 China School of Automation and Electrical Engineering Shengyang Ligong University Shenyang110159 China Beijing Normal University - Hong Kong Baptist University United International College Faculty of Science and Technology Zhuhai519087 China National Key Laboratory of Electromagnetic Space Security Tianjing300308 China

ISBN: (纸本)9798350303759

Video cleaning is a pivotal technology for enhancing the quality of infrared video data. In order to achieve high-quality cleaning of infrared video data, the temporal correlation features in the video data are thoroughly taken into account. A feature extraction model is designed. This model integrates Convolutional Neural Networks (CNN) and Long Short-Term Memory Networks (LSTM). It can extract infrared video features in both spatial dimension and temporal dimension. Considering the characteristics of low resolution and weak feature information in infrared video images, a lightweight strategy is adopted to achieve high-quality extraction of weak information in infrared images. In this paper, an infrared video data cleaning model lightweight CNN-LSTM is developed by incorporating a lightweight strategy and video spatiotemporal features. Through seven experimental comparisons, the model utilized in this study achieved improvement ranges of 0.6% to 43.8% in accuracy and 0.7% to 65.7% in recall. © 2023 IEEE.

关键词： Long short-term memory

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Period Doubling Bifurcations and Its control in Induction Motor Drives

Period Doubling Bifurcations and Its Control in Induction Mo...

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2020 Applying New Technology in Green Buildings, ATiGB 2020

作者： Ngan, Mi Do Hoang Le Tien, Dung Phung, Quang Nguyen University of da Nang University of Technology and Education Faculty of Electrical and Electronic Engineering Da Nang Viet Nam University of da Nang University of Science and Technology Faculty of Electrical Engineering Da Nang Viet Nam Ha Noi University of Science and Technology Institute for Control Engineering and Automation HaNoi Viet Nam

ISBN: (纸本)9781728186580

Chaos can lead to self-oscillation, which affect thequality of induction motor drive system?. This effect happens with nonlinear systems, which are sensitive to the initial conditions, but governed by deterministic laws unlike random. to The present study aims to investigate the chaos that occur in the nonlinear systems - three phase AC drives using induction motor by the rotor of flux oriented control. After analyzing the phenomena based on a mathematical model, simulation will prove chaotic behavior when parameters fall into period doubling bifurcation regions. It showed clearly the chaotic behaviors through time response, phase diagram, Fourier spectrum, Poincaré section, bifurcation diagrams, and Lyapunov exponents. Besides, the sensitivity of the initial condition of the system was also well presented. This is the typical characteristic of a chaotic system. In conclusion, this is a suitable algorithm - sliding mode control put forward to suppress the chaotic oscillations quickly and return the system to the normal working, therefore, could improve the quality of the system.) © 2021 IEEE.

关键词： Nonlinear systems

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An Alternative Approach to Reduce Switching Frequency on Semiconductor Switches in Power Electronic Converters

An Alternative Approach to Reduce Switching Frequency on Sem...

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International Conference on control, automation and Information Sciences (ICCAIS)

作者： Trung Tuyen Bui Duy Trinh Tran Tien Dung Vo Khac Tuan Nguyen Van Nam Giap Quang Dich Nguyen Institute for Control Engineering and Automation-ICEA Hanoi University of Science and Technology Ha Noi Viet Nam Faculty of Electrical Engineering Vinh University of Technology Education Vinh Viet Nam School of Electrical and Electronic Engineering Hanoi University of Science and Technology Ha Noi Viet Nam

This article presents an alternative approach to reduce the switching frequency in switching elements within power electronic converters. The aim is to address the challenges of conventional semiconductor devices in high-frequency switching, such as switch transition times and high-frequency pulse generation. With the proposed configuration, the semiconductor switch components and pulse generator operate at a lower frequency than the output frequency of the converter. Simulations to verify the approach will be conducted using PLECS software.

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Study on spiral winding swimming motion control of a slender legless creature model

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High Technology Letters 2021年第4期27卷 415-421页

作者： Lu Zhenli Ma Zhipeng Marko Pencic Maja Cavic Borovac Branislav Roumiana Ilieva Bojan Nemec Marjan Mernik School of Electrical Engineering and Automation Changshu Institute of TechnologyChangshu 215500P.R.China School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116P.R.China Faculty of Technical Sciences University of Novi SadNovi Sad 621000Serbia Faculty of Management Technical University of SofiaSofia 1000Bulgaria Department of Automatics Biocybernetics and RoboticsJožef Stefan InstituteLjubljana 1000Slovenia Faculty of Electrical Engineering and Computer Science University of MariborMaribor 462000Slovenia

Through the observation and analysis of the motion trajectory of spiral winding motion for slender legless biological creatures in water,V-REP software is adopted to build a dynamic simulator to study on the mechanism of spiral winding swimming(SWS)*** using the output of spiral function(SF),the dynamic simulation model of slender legless creature(SLC)realizes the SWS motion in *** corresponding experiments under the control of different bending angle of SF to control the dynamic model are also carried out to analyze the water performance of SWS in still *** with the output of two different bending angles of the spiral function,the dynamic model can be used to realize SWS and up/down *** work provides technical reserve and experimental platform for the corresponding study in related fields.

关键词： V-REP spiral winding swimming(SWS) motion control slender legless creature(SLC)

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Tiny noise, big mistakes: adversarial perturbations induce errors in brain–computer interface spellers

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National Science Review 2021年第4期8卷 78-90页

作者： Xiao Zhang Dongrui Wu Lieyun Ding Hanbin Luo Chin-Teng Lin Tzyy-Ping Jung Ricardo Chavarriaga Ministry of Education Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and AutomationHuazhong University of Science and Technology School of Civil Engineering and Mechanics Huazhong University of Science and Technology Centre of Artificial Intelligence Faculty of Engineering and Information Technology University of Technology Sydney Swartz Center for Computational Neuroscience Institute for Neural ComputationUniversity of California San Diego Center for Advanced Neurological Engineering Institute of Engineering in Medicine University of California San Diego ZHAW Data Lab Zürich University of Applied Sciences

An electroencephalogram(EEG)-based brain–computer interface(BCI) speller allows a user to input text to a computer by thought. It is particularly useful to severely disabled individuals, e.g. amyotrophic lateral sclerosis patients, who have no other effective means of communication with another person or a *** studies so far focused on making EEG-based BCI spellers faster and more reliable; however, few have considered their security. This study, for the first time, shows that P300 and steady-state visual evoked potential BCI spellers are very vulnerable, i.e. they can be severely attacked by adversarial perturbations,which are too tiny to be noticed when added to EEG signals, but can mislead the spellers to spell anything the attacker wants. The consequence could range from merely user frustration to severe misdiagnosis in clinical applications. We hope our research can attract more attention to the security of EEG-based BCI spellers, and more broadly, EEG-based BCIs, which has received little attention before.

关键词： electroencephalogram brain-computer interfaces BCI spellers adversarial examples

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Depression Symptom Assessment Based on Emotional Conflict and Fuzzy RBF Neural Network

Depression Symptom Assessment Based on Emotional Conflict an...

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第34届中国过程控制会议

作者： Jie Song Tao Zhang Mi Li Department of Automation Faculty of Information TechnologyBeijing University of Technology Beijing International Collaboration Base on Brain Informatics and Wisdom Services Engineering Research Center of Intelligent Perception and Autonomous Control Ministry of Education Engineering Research Center of Digital Community Ministry of Education

Depression is a widespread emotional disorder that is marked by a lasting and intense feeling of sadness,diminished enthusiasm,an absence of joy,and difficulty in *** this study,we first constructed a fuzzy RBF neural network model that conforms to fuzzy reasoning logic for depression symptom *** then employed the fuzzy c-means technique to establish the starting values for the three crucial parameters of the ***,grounded in the traits of parameter training,we proposed a method to optimize network parameter *** the practical application of depression symptom evaluation,we collected emotional conflict decision-making behavior data from 86 patients with *** this basis,we completed feature construction,feature normalization and feature dimensionality *** emotional conflict features and fuzzy RBF neural network to predict the PHQ-9 scores of patients with depression,we finally obtained an MAE of 3.84 and an RMSE of 4.98.

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Multi-population Cooperative Particle Swarm Optimization Algorithm and Its Application to Hyperparameter Optimization of Neural Network Model

Multi-population Cooperative Particle Swarm Optimization Alg...

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第34届中国过程控制会议

作者： Jiulin Sun Yanbo Chen Haiyan Li Mi Li Department of Automation Faculty of Information TechnologyBeijing University of Technology Beijing International Collaboration Base on Brain Informatics and Wisdom Services Engineering Research Center of Intelligent Perception and Autonomous Control Ministry of Education Engineering Research Center of Digital Community Ministry of Education

The lack of effective communication and cooperation among subpopulations leads to subpopulation aggregation,which affects the movement direction and search accuracy of the *** this study,we propose a multi-population cooperative particle swarm optimization(MCPSO) to improve communication and cooperation among *** MCPSO,we reconstruct the population optimal position(gbest) and subpopulation optimal position(lbest).Additionally,we establish exploration,exploitation,and auxiliary subpopulations and assign them different *** results using the CEC2017test function in three dimensions(30,50,and 100) demonstrate the superior performance of *** applied to hyperparameter optimization of neural network model,the results show that MCPSO outperforms other PSO algorithms,thereby validating its effectiveness and practicality.

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Reducing the energy consumption required for the disassembly process implemented on an assembly and disassembly line

Reducing the energy consumption required for the disassembly...

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International Conference on control Systems and Computer Science (CSCS)

作者： Paun Marius-Adrian Dragomir Otilia Elena Dragomir Florin Iliescu Sergiu Stelian Minca Eugenia Duca Octavian Gabriel Gurgu Ion Valentin Department of Automation and Industrial Informatics University “Politehnica” of Bucharest Bucharest Romania Faculty of Electrical Engineering Electronics and Information Technology Valahia University of Targoviste Targoviste Romania Faculty of Automatic Control and Computers University “Politehnica ” of Bucharest Bucharest Romania Department of Automation and Electrical Engineering University “Dunarea de Jos ” of Galati Galati Romania Institute of Multidisciplinary Research for Science and Technology Valahia University of Targoviste Targoviste Romania

This paper proposes a method to reduce the energy consumption of an industrial disassembly process implemented on a production line by using an energy-efficient secondary disassembly process. In the case of defective products, the flow directs the simple product with priority to be disassembled in workstation (WS) 7. Therefore, all defective products are redirected to WS7. The disassembly of all simple products in WS7 is problematic for two reasons: the power consumption of WS7 is high compared to the other workstations, additionally there is an increased possibility of bottlenecks in the production line due to the high disassembly time. The proposed solution to reduce the possibility of deadlock and reduce power consumption is to redirect the defective products to the flexible cell (FC). Handling robots located in neighboring stations will participate collaboratively in the disassembly process. The control structure ensures that the two robots "meet" in the boundary plane of WS3 with WS4 and disassemble each component through collaborative tasks. Collaborative control of disassembly is thought of as a solution to the global "fluidization" of production, removing the bottleneck, from the overall flow, but also as an ingenious solution to reduce energy consumption.

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Finite-time asynchronous dissipative filtering of conic-type nonlinear Markov jump systems

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Science China(Information Sciences) 2021年第5期64卷 151-162页

作者： Xiang ZHANG Shuping HE Vladimir STOJANOVIC Xiaoli LUAN Fei LIU Key Laboratory of Intelligent Computing and Signal Processing (Ministry of Education) School of Electrical Engineering and Automation Anhui University Department of Automatic Control Robotics and Fluid Technique Faculty of Mechanical and Civil EngineeringUniversity of Kragujevac Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of AutomationJiangnan University

In the present study, the finite-time asynchronous dissipative filter design problem for the Markov jump systems with conic-type nonlinearity is studied. The hidden Markov model can describe the asynchronism embodied in the system modes and the filter modes reasonably. Moreover, a suitable LyapunovKrasovskii function is utilized and linear matrix inequalities are applied to obtain adequate conditions. These techniques guarantee the finite-time boundedness and strict dissipativity of the filtering error dynamic system. Furthermore, the design problems of the passive filter and the H∞ filter are studied by adjusting the three parameters U, G and V. Finally, the filter gains and the optimal index α*are obtained and the correctness and feasibility of the designed approach are verified by a simulation example.

关键词： dissipative filtering hidden Markov model finite-time boundedness Markov jump systems conic-type nonlinearity

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Can Digital Intelligence and Cyber-Physical-Social Systems Achieve Global Food Security and Sustainability?

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IEEE/CAA Journal of Automatica Sinica 2023年第11期10卷 2070-2080页

作者： Yanfen Wang Mengzhen Kang Yali Liu Juanjuan Li Kai Xue Xiujuan Wang Jianqing Du Yonglin Tian Qinghua Ni Fei-Yue Wang College of Resources and Environment University of Chinese Academy of SciencesBeijing 100049 Beijing Yanshan Earth Critical Zone National Research Station University of Chinese Academy of SciencesBeijing 101408 State Key Laboratory of Tibetan Plateau Earth System Environment and ResourcesInstitute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing 100101China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of Sciences(CASIA)Beijing 100190 School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China School of Grassland Science Beijing Forestry UniversityBeijing 100083China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China State Key Laboratory of Plateau Ecology and Agriculture Qinghai UniversityXining 810016 Key Laboratory of Adaptation and Evolution of Plateau Biota Northwest Institute of Plateau BiologyChinese Academy of SciencesXining 810001 Binzhou Institute of Technology Weiqiao-UCAS Science and Technology ParkBinzhou 256606China Beijing Yanshan Earth Critical Zone National Research Station University of Chinese Academy of SciencesBeijing 101408China Department of Engineering Science Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao 999078 State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of Sciences(CASIA)Beijing 100190China Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078 Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of SciencesBeijing 100098 State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190China IEEE

Plants sequester carbon through photosynthesis and provide primary productivity for the ecosystem. However, they also simultaneously consume water through transpiration, leading to a carbon-water balance relationship. Agricultural production can be regarded as a form of carbon sequestration *** the perspective of the natural-social-economic complex ecosystem, excessive water usage in food production will aggravate regional water pressure for both domestic and industrial purposes. Hence, achieving a harmonious equilibrium between carbon and water resources during the food production process is a key scientific challenge for ensuring food security and sustainability. Digital intelligence(DI) and cyber-physical-social systems(CPSS) are emerging as the new research paradigms that are causing a substantial shift in the conventional thinking and methodologies across various scientific fields, including ecological science and sustainability studies. This paper outlines our recent efforts in using advanced technologies such as big data, artificial intelligence(AI), digital twins, metaverses, and parallel intelligence to model, analyze, and manage the intricate dynamics and equilibrium among plants, carbon, and water in arid and semiarid ecosystems. It introduces the concept of the carbon-water balance and explores its management at three levels: the individual plant level, the community level, and the natural-social-economic complex ecosystem level. Additionally, we elucidate the significance of agricultural foundation models as fundamental technologies within this context. A case analysis of water usage shows that, given the limited availability of water resources in the context of the carbon-water balance, regional collaboration and optimized allocation have the potential to enhance the utilization efficiency of water resources in the river basin. A suggested approach is to consider the river basin as a unified entity and coordinate the relationship between the

关键词： Carbon-water balance decision-support digital intelligence(DI) foundation models planning

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