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2024 Advanced Fiber Laser Conference, AFL 2024

作者： Chen, HongLi Fu, JianChuan Liu, RenJie Ding, Chao Wang, Mingyang Key Laboratory of Information System and Technology Beijing Institute of Control and Electronic Technology No. 51 North Muxidi Xicheng District Beijing100038 China

ISBN: (数字)9781510688889

ISBN: (纸本)9781510688872

A general data inspection software based on the basic data of multi-source radar was designed, which was the central part of the data pre-processing. In this paper, software requirements analysis, overall architecture design, workflow design and detailed function design were carried out. Detailed functions included radar basic data loading, data analysis and recombination, data inspection requirement analysis, preprocessing model loading and data inspection. Data checks included normalization, completeness, correctness, consistency, current status, and satisfaction. Eventually, the software can present the results of the data inspection in the form of visualizations or reports. This software provided more general radar data review and filtering services. © 2025 SPIE.

关键词： Inspection Data modeling Radar Design Databases Data processing Statistical analysis Data acquisition Data storage Reliability

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Applications of artificial intelligence to lipid nanoparticle delivery

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Particuology 2024年第7期90卷 88-97页

作者： Ye Yuan Yuqi Wu Jiabei Cheng Kaiyuan Yang Yilin Xia Hongguang Wu Xiaoyong Pan Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong UniversityKey Laboratory of System Control and Information ProcessingMinistry of Education of ChinaChina Songjiang Research Institute Songjiang District Central HospitalShanghai Jiao Tong University School of MedicineShanghaiChina

Lipid nanoparticles(LNPs)are nanocarriers composed of four lipid components and can be used for gene therapy,protein replacement,and vaccine ***,LNPs also face several challenges,such as toxicity,immune activation,and low delivery *** overcome these challenges,artificial intelligence can be used to optimize the design and formulation of LNPs,as well as to predict their properties and ***,antibody-targeted conjugation can be used to enhance the specificity and selectivity of LNPs by attaching an antibody that recognizes a specific antigen on the cell surface to LNPs.

关键词： Artificial intelligence Lipid nanoparticles Antibody Targeted conjugation

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Energy-Efficient Driving Strategy for High-Speed Trains with Considering the Checkpoints

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Chinese Journal of Electronics 2024年第3期33卷 847-858页

作者： Zixuan ZHANG Yuan CAO Shuai SU State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University School of Electronic and Information Engineering Beijing Jiaotong University National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University Frontiers Science Center for Smart High-speed Railway System Beijing Jiaotong University

With rising energy prices and concerns about environmental issues,energy-efficient driving strategies(EEDS) for high-speed trains have received a substantial amount of *** particular,energy-saving schemes play a huge role in reducing the energy and operating costs of *** article studies the EEDS of high-speed trains at a given time.A well-posed model is formulated,in which the constraints of the checkpoints,in addition to the speed limits,vehicle dynamics,and discrete control throttle,are first *** a given control sequence,the Karush-Kuhn-Tucker(KKT) conditions are used to obtain the necessary conditions for an *** to several key equations of the necessary conditions,the checkpoint constraints are *** case studies are conducted based on the data of the Beijing-Shanghai high-speed line to illustrate the effectiveness of the proposed approach.

关键词： Energy-efficiency High-speed trains Checkpoints

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Two-phase Flow Pattern Diagnosis Based on Chaotic Recursive Graph and Spectral Analysis 41

Two-phase Flow Pattern Diagnosis Based on Chaotic Recursive ...

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第41届中国控制会议

作者： Ziqi Cui Chao Tan Hanrui Zhang Xuewei Shi Feng Dong Tianjin Key Laboratory of Process Measurement and Control School of Electrical and Information EngineeringTianjin University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

It is difficult to accurately measure the flow parameters of gas-liquid two-phase flow in horizontal pipe because of its complexity and *** of two-phase flow pattern is helpful to analyze fluid flow state and provide more information for accurate measurement of flow *** this paper,a two-phase flow pattern diagnosis algorithm based on acoustic-electrical data fusion is ***,chaos recursive analysis is performed on the data obtained by electronic resistance tomography(ERT) *** wavelet transform is performed on ERT data and the total energy of wavelet transform is ***,spectrum analysis is used on the ultrasonic Doppler data,and statistical characteristics of spectrum bandwidth and average velocity are *** vector machine(SVM) and K-nearest neighbor were used to distinguish these features objectively,and the recognition accuracy are 88% and 92%.

关键词： Flow patterns ERT Ultrasonic doppler Recursive analysis SVM

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LOWER LIMB GAIT RECOGNITION METHOD BASED ON KNOWLEDGE DISTILLATION 10

LOWER LIMB GAIT RECOGNITION METHOD BASED ON KNOWLEDGE DISTIL...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Wang, Mengdi Wang, Shaohong Ma, Chao Key Laboratory of Modern Measurement and Control Technology Ministry of Edu. Beijing Information Science and Technology Beijing China Beijing Key Lab of Measurement and Control of Mechanical and Electrical System Beijing Information Science and Technology Beijing China

ISBN: (纸本)9781837242672

The need for assistive devices such as lower limb exoskeletons is steadily growing, making quick and precise gait recognition essential for optimal operation of these apparatuses. The knowledge distillation method was applied to gait recognition in this work. First, we took participant lower limb gait data, which we then resampled with step frequency taken into account. Next, multi-layer perceptron (MLP) with distinct layers were modeled by educators and students. The process of knowledge distillation was used to improve the accuracy of participant activity recognition by transferring knowledge from the sophisticated teacher model to the lightweight student model. On the training set, the teacher model's accuracy average was 96.4%. Following the process of knowledge distillation, the accuracy of the student model was 95.48%, representing a 1.12% improvement compared to the non-distilled model, with only 0.53M parameters and shorter training duration. The results demonstrate that knowledge distillation can improve the recognition speed and stability of gait recognition models, enabling more accurate and reliable results within the same patient population, thus providing more effective support for medical diagnosis and rehabilitation treatment. © The Institution of Engineering & Technology 2024.

关键词： Exoskeleton (Robotics)

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PERIODIC STATISTICAL ANALYSIS OF GAIT PHASE SEGMENTATION 10

PERIODIC STATISTICAL ANALYSIS OF GAIT PHASE SEGMENTATION

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Fu, Mingkai Wang, Shaohong Ma, Chao Key Laboratory of Modern Measurement and Control Technology Ministry of Edu. Beijing Information Science and Technology Beijing China Beijing Key Lab of Measurement and Control of Mechanical and Electrical System Beijing Information Science and Technology Beijing China

ISBN: (纸本)9781837242672

In order to achieve accurate segmentation of gait phases for precise real-time control of lower limb exoskeleton robots, the periodic statistical analysis of human motion posture by using the inertial measurement unit is conducted. In current research, the data of forward and turning gait types were acquired and every gait type data were devised into eight for different gait phase segmentation. During the process, the phase division values for different types of subjects were calculated and the phase division of different subjects with the same gait type was calculated. The standard deviations for different gaits and phases for the same experimenter are all below 10, primarily oscillated around 4. For gait data from different subjects, the percentages at the same phase are all below 3. The results showed that the results from the feasible method could better accord with the characteristics of each stage of actual *** those results could provide reference for real-time judgment of gait phase and technical support for intelligent control of lower limb exoskeletons. © The Institution of Engineering & Technology 2024.

关键词： Exoskeleton (Robotics)

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Multi-agent Deep Reinforcement Learning for Microgrid Energy Scheduling 41

Multi-agent Deep Reinforcement Learning for Microgrid Energy...

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第41届中国控制会议

作者： Zhiqiang Zuo Zhi Li Yijing Wang Tianjin Key Laboratory of Process Measurement and Control School of Electrical and Information EngineeringTianjin University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In this paper,we study the energy scheduling problem of solar-powered aircraft microgrid with multi-agent deep reinforcement learning algorithm under a centralized training and decentralized execution *** problem is modeled as a multi-agent Markov decision process and embedded in a multi-agent proximal policy optimization framework.A scheduling policy is proposed by offline training and then utilized for online ***,two forms of action spaces are constructed to explore a more favorable *** experiments show that the algorithm enables us to obtain an effective policy in solving the energy scheduling problem.

关键词： Multi-agent deep reinforcement learning Scheduling policy Energy dispatch Solar-powered aircraft

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Hierarchical Data-driven Scheduling-control Framework for Energy-efficient Industrial Flexible Production 24

Hierarchical Data-driven Scheduling-Control Framework for En...

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2nd International Conference on Frontiers of Intelligent Manufacturing and Automation, CFIMA 2024

作者： Jiang, Yuliang Zhu, Shanying Guan, Xinping Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China

ISBN: (纸本)9798400710681

This paper proposes a hierarchical data-driven scheduling-control framework for a multi-machine/mode production system to operate in an energy-efficient manner. At the scheduling layer, the scheduling problem incorporating process dynamics is formulated into a quadratic programming to arrange candidate processing machines/modes and corresponding production objectives. Based on the dynamic linearization model, scheduling results are executed by model-free adaptive control at the control layer. The real-time process output is feedback to the scheduling layer for the next decision-making. The practicality of the proposed framework is validated in a thread-tapping process featuring four distinct operational modes. On average, operating in a single mode maintains output accuracy while saving 14.2% on energy. The multi-mode operation further optimizes energy usage through its capability for dynamic mode switching. © 2024 Copyright held by the owner/author(s).

关键词： Quadratic programming

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Local Characteristics Preservation Based State Identification in Oil-gas-water Three-phase Flow process 41

Local Characteristics Preservation Based State Identificatio...

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第41届中国控制会议

作者： Zhao Li Shumei Zhang Feng Dong Tianjin Key Laboratory of Process Measurement and Control School of Electrical and Information Engineering Tianjin University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Oil-gas-water three-phase flow process is a dynamic non-stationary system,and the flow states are extremely complicated due to the three-phase *** at state identification of water-based dispersed three-phase flow,a strategy combining locality preserving projections(LPP) and Gaussian-weighted k-nearest neighbor(GWKNN) is *** on statistics pattern analysis(SPA),rich state information can be *** constructing the combined model of LPP and GWKNN,the local neighborhood structures are preserved and the local characteristics of flow states are *** effectiveness of the strategy is demonstrated by experiments.

关键词： Oil-gas-water three-phase flow state identification statistics pattern analysis locality preserving projections Gaussian-weighted k-nearest neighbor

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Consensus of One-Sided Lipschitz Multi-Agent systems with Input Saturation and Disturbance over Directed Graph 41

Consensus of One-Sided Lipschitz Multi-Agent Systems with In...

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第41届中国控制会议

作者： Zhiqiang Zuo Jiewen Ji Yijing Wang Tianjin Key Laboratory of Process Measurement and Control School of Electrical and Information EngineeringTianjin University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper investigates the consensus of one-sided Lipschitz(OSL) multi-agent systems(MASs) in the presence of input saturation and external disturbance over directed communication topology.A saturation avoidance strategy is suggested to handle the input *** enables us to deal with both open-loop stable and open-loop unstable *** employing the Lyapunov theory,the consensus problem is changed into the stabilization one through the error *** design a control protocol and convert the problems of disturbance rejection and domain of attraction into the optimization of two invariant ***,some numerical simulations are given to verify the effectiveness of the proposed consensus protocol.

关键词： Consensus One-sided Lipschitz Directed network Input saturation Disturbance

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