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International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Wang, Ziyu Wu, Yunjie Duan, Jingqi State Key Laboratory of Virtual Reality Technology and System Beihang University Beijing100191 China School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Science and Technology on Aircraft Control Laboratory Beijing100191 China Large Aircraft Advanced Training Center Beihang University Beijing100191 China

ISBN: (纸本)9789811966125

A joint longitudinal and lateral guidance law design scheme is proposed for the reference trajectory tracking problem of the reentry gliding phase of hypersonic vehicles. With respect to the longitudinal and lateral motion model of the hypersonic vehicle, a longitudinal guidance law based on the Global Fast Terminal Sliding Mode (GFTSM) algorithm and a lateral guidance law based on the Extended State Observer (ESO) is designed respectively, which are combined to get the bank angle for the hypersonic vehicle and obtain the final guidance scheme. From theoretical analysis, it shows that the guidance scheme has the characteristics of global rapidity and finite-time convergence, and both longitudinal and lateral guidance law are robust to system uncertainties which are caused by certain parameter perturbation and external interference. The effectiveness and superiority of this joint guidance scheme compared to traditional guidance method are verified by simulation experiments using the specific gliding reentry model and reference trajectory of a hypersonic vehicle. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Hypersonic vehicles

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Average Communication Rate for Networked Event-Triggered Stochastic control Systems

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IEEE Transactions on control of Network Systems 2025年

作者： Zhang, Zengjie Liu, Qingchen Mamduhi, Mohammad H. Hirche, Sandra Eindhoven University of Technology Department of Electrical Engineering Netherlands University of Science and Technology of China Department of Automation Hefei China University of Birmingham School of Computer Science United Kingdom Technical University of Munich Chair of Information-Oriented Control Munich Germany

Quantifying the average communication rate (ACR) of a networked event-triggered stochastic control system (NET-SCS) with deterministic thresholds is challenging due to the non-stationary nature of the system's stochastic processes. For a NET-SCS, the propagation of nonlinear statistics of the network communication status brought up by deterministic thresholds makes the precise computation of ACR difficult. Previous work used to over-simplify the computation using a Gaussian distribution without incorporating this nonlinearity, leading to sacrificed precision. This paper proposes a novel approach to calculate the exact ACR for a NET-SCS using a recursive model. We use theoretical analysis and a numerical study to qualitatively evaluate the deviation gap of the conventional approach that ignores the side information. The accuracy of our proposed method, alongside its comparison with the simplified results of the conventional approach, is validated by experimental studies. Our work is promising to benefit the efficient resource planning of networked control systems with limited communication resources by providing accurate ACR computation. © 2025 IEEE.

关键词： Networked control systems

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Safety Assurance in Multi-UAV Formation Tracking control Amidst Missile Threats 7th

Safety Assurance in Multi-UAV Formation Tracking Control Am...

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7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Li, Haoqi Hu, Jiangping Zhou, Qingrui Lv, Maolong Ghosh, Bijoy K. School of Automation Engineering University of Electronic Science and Technology of China Chengdu611731 China University of Electronic Science and Technology of China Huzhou313000 China Qian Xuesen Laboratory of Space Technology China Academy of Space Technology Beijing100094 China Air Traffic Control and Navigation College Air Force Engineering University Xian710051 China Department of Mathematics and Statistics Texas Tech University LubbockTX79409-1042 United States

ISBN: (纸本)9789819733279

The safety of multiple unmanned aerial vehicle (multi-UAV) systems threatened by enemy missiles is crucial for their effective formation control. In this paper, a distributed safety control strategy is developed that enables multi-UAV systems to execute formation tasks while avoiding enemy missiles. The proposed method considers enemy missiles as dynamic constraints on the multi-UAV system and is adaptable to changes in the number of UAVs. By ensuring each UAV remains within a defined safe set, the system can avoid incoming missiles while maximizing operational freedom for each UAV. The control strategy utilizes the backstepping control technique, making the computational process relatively inexpensive. Simulation results validate the effectiveness and adaptability of the proposed method in continuously changing threat environments. Our approach offers a promising solution for achieving safe and efficient multi-UAV cooperative operations in hostile environments. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Lyapunov functions

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Dynamic Stiffness Analysis and Parameter Optimization of Digital Electro-Hydraulic Actuator 9

Dynamic Stiffness Analysis and Parameter Optimization of Dig...

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9th International Conference on Fluid Power and Mechatronics, FPM 2023

作者： Zhao, Tian-Yu Wu, Shuai Li, Wen-Ding Li, Ren-Jie Wang, Yi Song, Bing Fu, Jun-Yong Jiao, Zong-Xia School of Automation Science and Electrical Engineering Beihang University Beijing China Research Institute for Frontier Science Beihang University Beijing China Ningbo Institute of Technology Beihang University Ningbo China Shanghai Aerospace Control Technology Institute Shanghai China Shanghai Servo-system Engineering Research Center Shanghai China Beihang University Key Laboratory of Advanced Airborne Systems Beijing China Beihang University Science and Technology on Aircraft Control Laboratory Beijing China Tianmushan Laboratory Hangzhou China

ISBN: (数字)9798350304947

ISBN: (纸本)9798350304947

In this paper, the dynamic stiffness characteristics of digital electro-hydraulic actuator are analyzed, and the influence of the introduction of digital valve on the electro-hydraulic actuator is studied. Based on the actual working conditions and requirements of digital electro-hydraulic actuator, the dynamic stiffness models of digital electro-hydraulic actuator and servo valve controlled electro-hydraulic actuator are established respectively. Two testing methods were used to complete closed-loop dynamic stiffness simulation, and the digital valve control system and the servo valve control system are compared and analyzed. By changing different system parameters, the sensitivity analysis of dynamic stiffness parameters of digital electro-hydraulic actuator is realized. Finally, the optimization of system control parameters is realized, and the optimization direction of the system parameters of the digital electro-hydraulic actuator is provided. © 2023 IEEE.

关键词： Stiffness

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Dynamic Event-Triggered Fixed-Time Consensus Analysis of Multi-Agent Systems Under Input Delays and Switching Topologies

Dynamic Event-Triggered Fixed-Time Consensus Analysis of Mul...

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On-Line Conference (ONCON), Industrial Electronics Society Annual

作者： Yu Zhang Yajing Li Guangtao Ran Hao Yu Guangfu Ma Department of Automation Harbin Institute of Technology (Shenzhen) Shenzhen China Shanghai Institute of Aerospace System Engineering Shanghai China Department of Control Science and Engineering Harbin Institute of Technology Harbin China School of Automation Beijing Institute of Technology Beijing China

ISBN: (数字)9798331540319

ISBN: (纸本)9798331540326

This paper proposes a dynamic event-triggered control method for first-order multi-agent systems with input delays and disturbances under switching topologies. The controller design and its properties of dynamic event-triggered fixed-time consensus are presented in detail. Furthermore, agents can achieve consensus in a fixed time for any initial conditions and topologies that comply with the control protocol. Zeno behavior is avoided. Simulation examples demonstrate the effectiveness of the proposed algorithm and simulate scenarios in which the communication environment deteriorates due to external disturbances affecting the MASs.

关键词： Industrial electronics Protocols Event detection Switches control systems Stability analysis Topology Delays Numerical stability Multi-agent systems

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Multi-ellipse Fitting Based on Kalman Filter

Multi-ellipse Fitting Based on Kalman Filter

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第42届中国控制会议

作者： Chenrong Long Yangzhi Zeng Zhenchao Ouyang Pengyu Guo Qinglei Hu School of Automation Science and Electrical Engineering Beihang University Beijing Institute of Control and Electronic Technology Beihang Hangzhou Innovation Institute Yuhang

This paper proposes a Kalman-filter-based algorithm for fitting multiple ***,the curve in Cartesian coordinates is first transformed into an extended curve in polar coordinates to obtain ordered ***,the Kalman filter is used for clustering to select points belonging to the same candidate ***,the parameters of each ellipse are solved using the least squares method to achieve ellipse ***,the proposed algorithm effectively fits multiple ellipses while avoiding a large number of ineffective samples and maintaining a low computational ***,the numerical simulation results demonstrate that the proposed method has good robustness against outliers.

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Metro Railway Traffic Safety Detection Based on An Attention Improved Network

Metro Railway Traffic Safety Detection Based on An Attention...

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International Conference on Industrial Artificial Intelligence (IAI)

作者： Xiaobin Liu Quanli Liu Wei Wang Zichen Yu Xiaoguang Zhao School of Control Science and Engineering Dalian University of Technology Dalian China Dalian Seasky Automation Co. Ltd Dalian China

The majority of causes that contribute to metro railway traffic accidents can be attributed to human errors. The widespread application of railway perception systems is expected to reduce the occurrence rate of railway traffic accidents. A metro railway perception system is designed to sense the surrounding environment, and it plays a crucial role in ensuring the safety of metro railway transportation systems. Based on the actual scenario of Dalian Metro Line 202, a detection method is proposed to complete the task of metro railway traffic detection. The extract ability of the backbone is enhanced by aggregating the hierarchical feature map. By introducing attention module, adopting decoupled detection head and adding extra object detection head, the detection ability of network for objects is promoted and the proposed network achieves satisfactory results in real scenarios.

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A Segmented Sliding Window-Based Comprehensive Periodic Feature Extraction Method for APT Classification

A Segmented Sliding Window-Based Comprehensive Periodic Feat...

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International Conference on control and automation (ICCA)

作者： Wei Song Tiejun Wu Ya Zhang School of Software Southeast University Nanjing China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing China School of Cyber Science and Engineering Southeast University. School of Automation Southeast University Nanjing China

ISBN: (数字)9798350354409

ISBN: (纸本)9798350354416

This paper studies the classification problem of Advanced Persistent Threat (APT) attacks and proposes a comprehensive periodic feature extraction method based on sliding window division. A new data processing approach is proposed. Considering the characteristics of APT attacks, the life cycle of APT traffic data is divided into three stages. The traffic data from each stage is sampled in a piecewise manner and divided into separate training and testing sets, and then the training and testing subsets are merged. For the integrated sets, a sliding window-based partition approach is employed to obtain training and testing window samples, while extracting features from each individual sample. Then, this paper proposes a differential-based periodic feature extraction methodology to capture the dynamic information present in APT traffic and integrate it with fundamental static features, thereby forming effective comprehensive features. After combining these static and differential features, a comprehensive foundation is established for model training. Finally, the effectiveness of the algorithm is verified using decision tree model, and its superiority is demonstrated by comparing it with traditional partition methods based on data streams.

关键词： Training Heuristic algorithms Feature extraction Data models Partitioning algorithms Classification algorithms Decision trees

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Multimodal Process Monitoring Based on Dynamic Extended K-means-VAE-RF

Multimodal Process Monitoring Based on Dynamic Extended K-me...

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第35届中国控制与决策会议

作者： Shiwei Su Kaixiang Peng Xueyi Zhang Key Laboratory for Advanced Control of Iron and Steel Process of Ministry of Education School of Automation and Electrical Engineering University of Science and Technology Beijing

With the development of customization and flexibility of manufacturing industry,intelligent manufacturing process gradually presents multimodal characteristics,which are reflected in the strong coupling,nonlinear,multi working conditions and other characteristics of the *** this paper,a multi-modal process monitoring method based on dynamic expansion is *** view of the dynamic characteristics of process data,the process data is dynamically expanded through the amplification matrix,and then the multi-modal process data is modal divided through the improved K-means *** divided multi-modal process data is monitored using Variational Autoencoder,and relevant statistics and control limits are ***,the multi-modal process monitoring is constructed by introducing the method of random forest for modal *** validity of the algorithm is verified by real data of steel rolling process.

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A GM-TCN based Hybrid Prediction Method for Ash Fouling Prediction in Coal-fired Power Plant Boiler

A GM-TCN based Hybrid Prediction Method for Ash Fouling Pred...

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2022 Chinese automation Congress, CAC 2022

作者： Shi, Yuanhao Han, Tianxiang Cui, Fangshu Wen, Jie Qiao, Gangzhu North University of China School of Electrical and Control Engineering Taiyuan China Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China North University of China School of Data Science and Technology Taiyuan China

ISBN: (纸本)9781665465335

In response to the problem that ash deposition in boilers has a great impact on production efficiency as well as production safety, a grey level theory prediction model based on time convolution networks (GM-TCN) is proposed to predict the degree of ash in boiler heated areas by using a cleaning factor to assess the ash deposition condition on the heated surfaces. The accuracy of the prediction model is improved by utilizing the features of grey level theory that can predict the developmental changes in system behavior, combined with the high-precision approximation capability of the time-convolutional network. The modelling prediction of the ash level in the heated area of boilers during the production of coal-fired power stations is investigated. Experiments demonstrate that the model can predict the cleanliness factor with high accuracy, and the predicted values are closest to the true values compared to the other two models, verifying the accuracy and reliability of the model. © 2022 IEEE.

关键词： Convolution

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