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40th Chinese control Conference, CCC 2021

作者： Peng, Siting Lei, Li Ma, Yichao Youcheng, Wang Beijing Electro-Mechanical Engineering Institute Beijing100074 China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (纸本)9789881563804

In this paper, based on the fusion tracking of infrared and radar, a federated kalman filtering algorithm based on adaptive fault tolerance is designed. According to the observation equation of infrared and radar, a distributed fusion federated kalman filtering structure is established by using three infrared sensors and three radar sensors. The sub nodes filter their detection information respectively, and the estimation results are obtained. After that, the sub nodes filter results are sent into their part of fault-tolerant judgment respectively, then we can get the weight information of each sub node, thus it can determine the degree of dependence of each node, and the filtering results of all sub nodes are fused into calculation by their weight. The final simulation shows that the algorithm can isolate the interference in the multi-mode fusion tracking process effectively , and get a stable state estimation output. © 2021 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Tracking radar

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The design of a displaying system for battlefield situation based on ArcGIS Engine

The design of a displaying system for battlefield situation ...

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2021 China Automation Congress, CAC 2021

作者： Wang, Jiaqi Xu, Cheng Ji, Hua Science and Technology on Complex System Control and Ietelligent Agent Coopration Laboratory Beijing10074 China Beijing Electro-Mechanical Engineering Institute Beijing10074 China

ISBN: (纸本)9781665426473

To facilitate the precise analysis and judgment of battlefield situation for military stuffs inmodern warfare with abundant information, a modularized two-dimension battlefield situation displaysystem is designed based on ArcGIS Engine in this paper. The functions of each module are analyzed, andkey issues of the design are introduced. The real-time dynamic display of moving objects in the battlefield isachieved by reading data from the battlefield. © 2021 IEEE

关键词： Engines

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Unraveling the mechanism of assimilatory nitrate reduction and methane oxidation by Methylobacter sp. YHQ through dual N-O isotope analysis and kinetic modeling

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Carbon Research 2024年第1期3卷 1-14页

作者： Chen, Guojun Hao, Qinqin Zeng, Raymond Jianxiong Kappler, Andreas Li, Xiaomin Yue, Fujun Hu, Shiwen Yang, Yang Liu, Fanghua Li, Han Qian, Dayi Yang, Baoguo Sarkytkan, Kaster Liu, Tongxu Li, Fangbai National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management Institute of Eco-environmental and Soil Sciences Guangdong Academy of Sciences Guangzhou510650 China Fujian Provincial Key Laboratory of Soil Environmental Health and Regulation College of Resources and Environment Fujian Agriculture and Forestry University Fujian Fuzhou350002 China Geomicrobiology Center for Applied Geoscience University of Tübingen Tübingen72076 Germany Cluster of Excellence: EXC 2124: Controlling Microbes to Fight Infection Tübingen72074 Germany SCNU Environmental Research Institute Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & ampMOE Key Laboratory of Theoretical Chemistry of Environment South China Normal University Guangzhou510006 China Institute of Surface-Earth System Science School of Earth System Science Tianjin University Tianjin300072 China Xinjiang Key Laboratory of Clean Conversion and High Value Utilization of Biomass Resources Yili Normal University Yining835000 China Department of Geography and Ecology Institute of Natural Sciences and Geography Abai Kazakh National Pedagogical University Almaty Kazakhstan

Assimilatory nitrate reduction and methane (CH4) oxidation by bacteria play important roles in carbon (C) and nitrogen (N) biogeochemical cycles. Here, an investigation of enzymatic assimilatory nitrate reduction and CH4 oxidation by Methylobacter sp. YHQ from the wetlands is presented, specifically concentrating on N and oxygen (O) isotope fractionation with various initial nitrate and oxygen concentrations. The N enrichment factors (15Εassimilation) increased from 4.2 ± 0.7‰ to 6.9 ±1.3‰ and the O isotope enrichment factors (18Εassimilation) increased from 2.7 ± 0.9‰ to 4.7 ± 0.8‰ during nitrate assimilation when initial nitrate concentrations increased from 0.9 mM to 2 mM. Similar 18Ε and 15Ε values were observed at different oxygen concentrations. The values of 18Ε and 15Ε provided vital parameters for the assessment of assimilatory nitrate reduction via the Rayleigh equation approach. The ratios of O and N isotope enrichment factors (18Ε:15Ε)assimilation ranged from 0.64 ± 0.15 to 0.74 ± 0.18 during nitrate assimilation by Methylobacter sp. YHQ with Nas, which were different from (18Ε:15Ε)assimilation for assimilatory eukaryotic nitrate reductase (eukNR) from literature data. Thus, N and O isotope fractionation could be useful tools to distinguish eukNR from Nas during nitrate assimilation. Additionally, the rates of CH4 oxidation and nitrate reduction were evaluated with a reaction-based kinetic model, and it quantitatively described the enzymatic reactions of nitrate assimilation. Combining dual N-O isotope analysis with kinetic modeling provides new insights into the microbially driven C-N interactions. Graphical Abstract: (Figure presented.) © The Author(s) 2024.

关键词： Kinetic parameters

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Safe RL-based Adaptive Cooperative Game control of Wing Deformation and Flight State Tracking for Morphing Hypersonic Vehicles

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IEEE Transactions on Aerospace and Electronic systems 2025年

作者： Wang, Jun-Wei Wang, Feng Wu, Huai-Ning Liu, Zhou-Yang University of Science and Technology Beijing School of Intelligence Science and Technology Beijing100083 China Beihang University School of Automation Science and Electrical Engineering Beijing100191 China Beihang University Hangzhou International Innovation Institute Hangzhou311115 China National Key Laboratory of Complex System Control and Intelligent Agent Cooperation Beijing100074 China

This study addresses the issue of adaptive cooperative game control (ACGC) design for wing deformation and flight state tracking of morphing hypersonic vehicles (MHVs) with variable wing shapes, input constraints and state constraints. To access a better flight control performance, the wing deformation parameter is extended in this work as an auxiliary control input. An oriented-coordinated-control nonlinear differential equation model is first established to describe the complicated longitudinal flight state tracking error dynamics of the MHV. Then, a control barrier function (CBF) is introduced and incorporated into the value function as a risk penalty term of state security constraint. Based on the differential game (DG) theory, the optimal coordinated control problem for the MHV with input constraints and state constraints is treated as a constrained cooperative DG that is further formulated as a Hamilton-Jacobi-Bellman (HJB) equation with barrier and hyperbolic functions. A safe RL algorithm is proposed to solve the above HJB equation and an online Pareto joint control strategy is achieved thereby. Hereafter the stability analysis of the closed-loop state tracking error system is done by the Lyapunov technique. Meanwhile, both state and input constraints are met during the the parameter learning regulation process. At last, a simulation study is performed to support the proposed safe RL-ACGC algorithm. © 2025 IEEE.

关键词： Hyperbolic functions

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An SIE Formulation With Loop Analysis for Large-Scale Arbitrarily Shaped Interconnects

An SIE Formulation With Loop Analysis for Large-Scale Arbitr...

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Antennas and Propagation Society International Symposium

作者： Zekun Zhu Ningbo Gong Guijie Diao Shunchuan Yang School of Electronic and Information Engineering Beihang University Beijing China Beijing Electro-mechanical Engineering Institute Beijing China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory China

A magneto-quasi-static (MQS) surface integral equation (SIE) formulation with loop analysis is proposed to extract the impedance of interconnects in packages. The loop analysis is developed with an independent and complete set of unknowns according to the graph theory, which can significantly reduce the dimension of the final matrix. With the pre-corrected fast Fourier Transform (pFFT), large-scale interconnects can be efficiently modelled. A practical example in packages is carried out to validate the effectiveness and scalability of the proposed formulation. Results show that the proposed formulation is accurate and flexible to model complex interconnects in packages compared with the industrial solver.

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采用高导热金刚石基底的高效散热钙钛矿激光

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science China Materials 2023年第6期66卷 2400-2407页

作者：李国辉侯缜魏衍福赵若凡冀婷王文艳温荣郑凯波于盛旺崔艳霞 College of Physics and Optoelectronics Key Laboratory of Interface Science and Engineering in Advanced MaterialsKey Lab of Advanced Transducers and Intelligent Control System of Ministry of EducationTaiyuan University of TechnologyTaiyuan 030024China Shanxi-Zheda Institute of Advanced Materials and Chemical Engineering Taiyuan 030024China Division of Chemical Physics and NanoLund Lund UniversityBox 12422100LundSweden

具有低温升的高效散热方案是实现电泵浦激光的关键因素之一.高导热金刚石有望克服钙钛矿激光的散热限制.本文中,我们展示了一种可以将光泵浦过程中产生热量高效耗散的金刚石基底钙钛矿纳米片激光.此外,紧密光学束缚可以通过在纳米片和... 详细信息

具有低温升的高效散热方案是实现电泵浦激光的关键因素之一.高导热金刚石有望克服钙钛矿激光的散热限制.本文中,我们展示了一种可以将光泵浦过程中产生热量高效耗散的金刚石基底钙钛矿纳米片激光.此外,紧密光学束缚可以通过在纳米片和金刚石基底之间引入一层薄SiO_(2)间隔层而实现.该激光的品质因子高达~1962,激光阈值为52.19μJ cm^(-2).受益于金刚石基底,其泵浦能量密度相关温度灵敏度较低(~0.56±0.01 K cm~2μJ^(-1)).本工作有望促进电泵浦钙钛矿激光的发展.

关键词：金刚石钙钛矿温度灵敏度高效散热品质因子高导热激光阈值光泵浦

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Flight Parameter Prediction and Fault Propagation based on Machine Learning and Symbolic Directed Graph

Flight Parameter Prediction and Fault Propagation based on M...

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International Symposium on Autonomous systems (ISAS)

作者： Wenzhuo Li Kun Guo Yuehua Cheng Hengsong Hu Cheng Xu Ziquan Yu College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing Institute of Mechanical and Electrical Engineering Beijing China

Fault influence and propagation analysis of flight vehicle systems is an important element of flight vehicle health management and also an important problem to be solved. A fault influence model based on data-driven is established, including a prediction model of flight parameters under fault, a dynamic influence path, and an influence degree model. Based on the historical experimental data, a long and short-term memory neural network (LSTM) model is proposed to predict the time-series data of each flight parameter of the flight vehicle under fault; based on the prediction results, a symbolic directed graph (SDG) is used to describe the fault of the flight vehicle system, and then introduce the concept of a compatible path with time-series characteristics to describe the dynamic propagation process of the fault. The case shows that the method proposed in this paper enables qualitative and quantitative analysis of the fault influence, and can reasonably describe the fault propagation path and influence characteristics.

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Deep Learning Based Fault Diagnosis for Chemical Process with Statistical Feature Fusion

Deep Learning Based Fault Diagnosis for Chemical Process wit...

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Chinese control Conference (CCC)

作者： Lei Zhang Hao Xia Bao Cha School of Control Science and Control Engineering Dalian University of Technology Dalian P. R. China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu P. R. China

The existing fault diagnosis methods based on deep neural networks mostly rely on process data for fault classification and diagnosis, which makes it difficult to distinguish minor faults with similar data features. Therefore, this paper proposes a deep learning-based fault diagnosis model that combines statistical indicators and neural networks. By analyzing and calculating the relevant information entropy to screen the statistical signal features of time domain and frequency domain, we can extract more hidden information from the raw data, and use the convolutional autoencoder to compress the statistical indicators for feature extraction, and use CNN network to extract features from raw data. Finally, the two sets of features are fused and input into the LSTM network to obtain temporal information for fault diagnosis. Tests conducted on the Tennessee Eastman (TE) process show that the proposed model outperforms typical classifiers and improves the diagnostic accuracy of minor faults.

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High-order Fully Actuated Approach for Output Position control of Two Mass systems based on Extended State Observer

High-order Fully Actuated Approach for Output Position Contr...

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Fully Actuated system Theory and Applications (CFASTA), Conference on

作者： Ping Li Guang-Ren Duan Bi Zhang Yuzhong Wang Shenzhen Key Laboratory of Control Theory and Intelligent Systems School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen China Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin China Department of Mechanical and Energy Engineering Southern University of Science and Technology Shenzhen China

ISBN: (数字)9798350373691

ISBN: (纸本)9798350373707

This paper proposes a high-order fully actuated (HOFA) control approach for the output position control of two-mass systems (TMSs) based on extended state observer (ESO). TMSs belongs to a class of underactuated mechanical systems, which can be converted into an HOFA model using variable elimination. Based on the feature of HOFA model, it is extremely simple to solve the position control law such that a desired tracking error system can be achieved. To handle the control issues of high-order derivatives and unknown disturbances, a linear ESO is employed for state estimation and active disturbance rejection control, where the lumped disturbance is treated as an extended system state. The theoretical stability of control system is analyzed with the help of sliding manifold. Comparative simulations are performed to demonstrate the effectiveness of the proposed approach.

关键词： Robust control Uncertain systems Simulation Position control Observers control systems Stability analysis

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Isoform Function Prediction Based on Heterogeneous Graph Attention Networks

Isoform Function Prediction Based on Heterogeneous Graph Att...

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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Guo, Kuo Li, Yifan Chen, Hao Shen, Hong-Bin Yang, Yang Shanghai Jiao Tong University Key Lab. of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Department of Computer Science and Engineering Shanghai200240 China Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Institute of Image Processing and Pattern Recognition Shanghai200240 China Carnegie Mellon University School of Computer Science Computational Biology Department PittsburghPA15213 United States

ISBN: (纸本)9798350337488

Isoforms refer to different mRNA molecules transcribed from the same gene, which can be translated into proteins with varying structures and functions. Predicting the functions of isoforms is an essential topic in bioinformatics as it can provide valuable insights into the intricate mechanisms of gene regulation and biological processes. Conventionally, gene function labels are standardized in Gene Ontology (GO) terms. However, traditional methods for predicting isoform function are largely limited by the absence of isoform-specific labels, sparse annotations, and the vast number of GO terms. To address these issues, we propose HANIso, a deep learning-based method for isoform function prediction. HANIso leverages a pretrained protein language model to extract features from protein sequences. It also integrates heterogeneous information, such as isoform sequence features, GO annotations, and isoform interaction data, using a Heterogeneous Graph Attention Network (HAN). This allows the model to learn the importance of different sources of information and their semantic relationships through the attention mechanism. Our method can predict function labels at both the gene level and isoform level. We conduct experiments on two species datasets, and the results demonstrate that our method outperforms existing methods on both AUROC and AUPRC. HANIso has the potential to overcome the limitations of traditional methods and provide a more accurate and comprehensive understanding of isoform function. © 2023 IEEE.

关键词： alternative splicing gene ontology heterogeneous graph attention network isoform function prediction protein language model

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