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22nd IEEE International Conference on Industrial Informatics, INDIN 2024

作者： Ren, Cheng Chen, Cailian Zhu, Shanying Ma, Yehan Guan, Xinping Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China

ISBN: (纸本)9798331527471

Flight control system testing (FCST) is one of the most important testing during aircraft final assembly, however, traditional testing method highly rely on manual labor, resulting in low testing quality and efficiency. Targeting at improving the testing quality and efficiency, in this paper, we apply digtial twin (DT) technology in the FCST process for the first time. A virtual experimental platform named DT-FCST is constructed which is identical to a real wing experimental platform, supporting testing elements management and physical-virtual mapping experiments. The development process of the DT-FCST platform is detailed. Several experiments are conducted to demonstrate the effectiveness of DT technology. Based on motion scripts integrating real-time data from the cockpit, the cockpit control sticks and flight control surfaces are driven to achieve consistency between physical and virtual motions. With the help of DT technology, the entire movement process of control sticks and flight control surfaces are mapped with high fidelity in the DT-FCST platform, greatly enhancing the testing efficiency and monitoring quality. © 2024 IEEE.

关键词： Cockpits (aircraft)

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Recent advancements of nonlinear dynamics in mode coupled microresonators:a review

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Applied Mathematics and Mechanics(English Edition) 2025年第2期46卷 209-232页

作者： Xuefeng WANG Zhan SHI Qiqi YANG Yuzhi CHEN Xueyong WEI Ronghua HUAN Department of Engineering Mechanics MIIT Key Laboratory of Dynamics and Control of Complex SystemsNorthwestern Polytechnical UniversityXi’an 710129China Department of Mechanics Key Laboratory of Soft Machines and Smart Devices of Zhejiang ProvinceZhejiang UniversityHangzhou 310027China State Key Laboratory for Manufacturing Systems Engineering Xi’an Jiaotong UniversityXi’an 710054China

Due to scale effects,micromechanical resonators offer an excellent platform for investigating the intrinsic mechanisms of nonlinear dynamical phenomena and their potential *** review focuses on mode-coupled micromechanical resonators,highlighting the latest advancements in four key areas:internal resonance,synchronization,frequency combs,and mode *** origin,development,and potential applications of each of these dynamic phenomena within mode-coupled micromechanical systems are investigated,with the goal of inspiring new ideas and directions for researchers in this field.

关键词： mode coupling micro-electro-mechanical system(MEMS)resonator nonlinear dynamics

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A modified CNN-IDS model for enhancing the efficacy of intrusion detection system

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Measurement: Sensors 2024年 35卷

作者： Abed, Ruqaya Abdulhasan Hamza, Ekhlas Kadhum Humaidi, Amjad J. Control and Systems Engineering Department University of Technology Iraq

As the security of computer networks in enterprises worldwide is dependent on the proper functioning of intrusion detection systems (IDSs) and intrusion prevention systems (IPSs), this effectiveness of both of them is of utmost priority. Leveraging diverse techniques, these network security systems are created to keep the reliability, the availability, and the integrity of the organizational networks safe. One plus point of using ML in intrusion detection system (IDS) is that it has successfully weeded out all the IDS attacks with a high degree of accuracy. In contrast, such systems may be believed to operate to their least competent levels when supersized data spaces have to be dealt with. In the process to solve this, application of feature selection techniques will play the crucial role to ignore non-relevant features which do not impact the issue of classification much. One more thing to keep in mind is that the ML-based IDSs often have problems with high false alarms and percentage accuracy because of the imbalanced training sets. The undertaking of this paper involves a through the analysis of the UNSW-NB15 intrusion detection data set as upon which our models will be tested and trained. We utilize two feature selection approaches: the PCA method, which is denoted as PCA, and the SVD method, called SVD. Furthermore, we categorize the datasets using these methods— Ridge Regression (RR), Stochastic Gradient Descent, and Convolutional Neural Network (CNN)– on the transformed feature space. What is the most widely used for, is that it deals with both, binary and multiclass classification. The result measure that PCA and SVD are succeeded in getting better performance of IDS than others with enhancing the accuracy of classification models. More specifically, the RR classifier's precise was outstanding for the binary classification problem experiencing a rise in the accuracy from 98.13 % to 99.85 %. This shows the critical role of feature selection approaches and is

关键词： Network intrusion

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Vision Based Deflection Angle Measurement of Flight control Surfaces in Aircraft Testing 22

Vision Based Deflection Angle Measurement of Flight Control ...

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22nd IEEE International Conference on Industrial Informatics, INDIN 2024

作者： Xu, Jiaxin Ren, Cheng Chen, Cailian Ma, Yehan Guan, Xinping Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China

ISBN: (纸本)9798331527471

During the flight control system testing (FCST), it is crucial to accurately measure the deflection angles of flight control surfaces to determine whether they respond precisely to commands. However, the traditional measurement method, which relies on the manual use of angle measuring rulers for inspections, is inefficient, prone to wear, and lacks precision. To address this issue, we introduce a vision-based angle measurement method for FCST that replaces manual measurements, thereby significantly enhancing testing efficiency and accuracy. Our proposed triangular mesh alignment based angle measurement algorithm (TMA-AM) is a non-contact measurement method that involves two key procedures, capturing 3D coordinates from images and calculating deflection angles. The TMA-AM algorithm converts deflected angles into angular differences between two coordinate systems, while accounting for the curved characteristics of control surfaces. We evaluate TMA-AM algorithm on a 3D-printed wing test platform and an aircraft wing test platform. Experimental results demonstrate that our method achieves high accuracy, with an average angular measurement error below 0.05◦ © 2024 IEEE.

关键词： Mesh generation

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Data-driven consensus control of fully distributed event-triggered multi-agent systems

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Science China(Information Sciences) 2023年第5期66卷 147-161页

作者： Yifei LI Xin WANG Jian SUN Gang WANG Jie CHEN School of Automation Beijing Institute of Technology The State Key Lab of Autonomous Intelligent Unmanned Systems Beijing Institute of Technology Beijing Institute of Technology Chongqing Innovation Center Department of Control Science and Engineering Tongji University

This study investigates the consensus control issue in discrete-time linear multi-agent systems(MASs) using data-driven control under undirected communication networks. To alleviate the communication burden, an adaptive event-triggered control strategy involving only local information is proposed and a model-based stability condition is derived that guarantees the asymptotic consensus of MASs. Furthermore,a data-based consensus condition for unknown MASs is established by combining a data-based system representation with the model-based stability condition, using only pre-collected noisy input-state data instead of the accurate system information a priori. Specifically, both model-based and data-driven event-triggered controllers can be utilized without requiring any global information. The validity and correctness of the controllers and associated theoretical results are demonstrated via numerical simulations.

关键词： distributed control event-triggered control data-driven control discrete-time MASs

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Flexibility Enhancement Planning of Active Distribution Networks Considering Optimal Dispatch of Demand Response 7

Flexibility Enhancement Planning of Active Distribution Netw...

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7th IEEE International Conference on Energy Internet, ICEI 2023

作者： Fan, Ruizhe Hu, Changbin Luo, Shanna Li, Xuecheng Lu, Heng Feng, Jun School of Electrical and Control Engineering North China University of Technology Beijing China University of Duisburg-Essen Department of Automatic Control and Complex Systems Duisburg Germany

ISBN: (纸本)9798350386684

To enhance the operational flexibility of active distribution network (ADN) with high proportion renewable energy, this paper proposes a flexibility resource planning model considering the optimal dispatch of demand response. Firstly, the flexibility in supply side and demand side are analyzed. Then, a two-layer planning model of flexibility resources is established, which includes the planning layer and operating layer. The planning layer introduces the system comprehensive security index to evaluate the system security, aiming at the optimal annual comprehensive cost of the system. The operation layer introduces the flexibility insufficiency rate as the system flexibility evaluation index, and the network loss and renewable energy curtailment are counted as economic penalties, which is aiming at the optimal annual operation cost of the system. The proposed planning model is solved with particle swarm optimization algorithm. Case studies on the IEEE 33-node distribution system show that the proposed model can effectively reduce the network loss and the renewable generation curtailment. © 2023 IEEE.

关键词： Electric power distribution

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Enhancing Data Labeling Through Integration of SS-DBSCAN Clustering and Human-in-the-Loop 24

Enhancing Data Labeling Through Integration of SS-DBSCAN Clu...

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6th Asia Conference on Machine Learning and Computing, ACMLC 2024

作者： Monko, Gloriana J. Kimura, Masaomi Department of Functional Control Systems Shibaura Institute of Technology Tokyo Japan School of Engineering Shibaura Institute of Technology Koto City Tokyo Japan

ISBN: (纸本)9798400710018

This study introduces a novel method for integrating Stratified Sampling for Density-Based Spatial Clustering of Applications with Noise (SS-DBSCAN) clustering with the human-in-the-loop approach to semi-supervised data labeling. We enhance the feature representation of text data using attention mechanisms, leading to the formation of more contextually relevant clusters. The clusters are then processed using SS-DBSCAN, where a custom similarity function aligns them closely with expert-labeled examples, facilitating efficient label propagation. Subsequently, human experts reevaluate the clustering outputs, refining the process by reassessing the feature similarities to the expert-labeled classes. This iterative process ensures high fidelity in label assignment and enhances the overall reliability of the semi-supervised learning approach. Applied to MIMIC III and Cancer Doc Classification datasets, this method not only aligns the data labels more closely with expert evaluations but also leverages human judgment to confirm the accuracy and reliability of the re-clustering process. Based on the BERT transformers model, the fine-tuned prediction model achieved 100% accuracy in predicting the correct label and evaluated the re-clustering technique's effectiveness, demonstrating 90.3% and 97.8% correctness in the re-clustered labels in MIMIC III and Cancer Doc Classification datasets, respectively. © 2024 Copyright held by the owner/author(s).

关键词： Self-supervised learning

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Onboard Near-Real Time System Identification From Open and Closed-Loop Flight Data

Onboard Near-Real Time System Identification From Open and C...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： McQuinn, Cassie-Kay Valasek, John Vehicle Systems & Control Laboratory Aerospace Engineering Department Texas A&M University College StationTX77843-3141 United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

This paper develops and demonstrates an approach for identifying linear time invariant state-space dynamical models of small Unmanned Air systems (UAS) with and without active flight controllers, in near-real time. Models are generated onboard the vehicle from both openloop and closed-loop data using low cost commercial-off-the-shelf components. A controller, external to the primary flight controller, is developed and implemented to generate and record controller inputs for the closed-loop system using an extension of the Developmental Flight Test Instrumentation 2 (DFTI2). The Observer/Kalman filter Identification (OKID) algorithm generates linear, time invariant state-space realizations of longitudinal, lateral/directional, and combined longitudinal and lateral/directional models. The models are generated independent of actuator dynamics by mapping control effector deflection angles to measured servo potentiometer readings. Orthogonal Schroeder sine sweep excitations are used to reduce potential control coupling while also exciting multiple frequencies. Models identified from flight data are presented and evaluated in the paper. Results presented in the paper demonstrate that this system can generate models suitable for describing the dynamics of the vehicle, operating both with and without a controller implemented. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Invariance

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An innovative test method for mechanical properties of sandstone under instantaneous unloading confining pressure

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International Journal of Mining Science and Technology 2024年第12期34卷 1677-1692页

作者： Xuesheng Liu Shenglong Yang Yunliang Tan Jun Wang Xuebin Li Yu Zhang College of Energy and Mining Engineering Shandong University of Science and TechnologyQingdao 266590China State Key Laboratory of Mining Disaster Prevention and Control Shandong University of Science and TechnologyQingdao 266590China Geoscience Department Nuclear Waste Management OrganizationCanada

With the increase of underground engineering construction depth,the phenomenon of surrounding rock sudden failure caused by supporting structure failure occurs *** conventional unloading con-fining pressure(CUCP)test cannot simulate the plastic yielding and instantaneous unloading process of supporting structure to ***,a high stress loading-instantaneous unloading confining pressure(HSL-IUCP)test method was proposed and applied by considering bolt’s fracture under *** wall thickness of confining pressure plates and the material of bolts were changed to realize different confin-ing pressure loading stiffness(CPLS)and lateral maximum allowable deformation(LMAD).The superio-rity of HSL-ICPU method is verified compared with *** rock failure mechanism caused by sudden failure of supporting structure is *** results show that when CPLS increases from 1.35 to 2.33 GN/m,rock’s peak strength and elastic modulus increase by 25.18%and 23.70%,*** fracture characteristics change from tensile failure to tensile-shear mixed *** LMAD decreases from 0.40 to 0.16 mm,rock’s residual strength,peak strain,and residual strain decrease by 91.80%,16.94%,and 21.92%,respectively,and post-peak drop modulus increases by 140.47%.The test results obtained by this method are closer to rock’s real mechanical response characteristics compared with CUCP.

关键词： High stress Instantaneous unloading confining pressure Test method Confining pressure loading stiffness Lateral maximum allowable deformation Rock properties

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Cluster Consensus Problem on Time-varying Higher-Order Interaction Networks 63

Cluster Consensus Problem on Time-varying Higher-Order Inter...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Wei, Haoyu Pan, Lulu Shao, Haibin Li, Dewei Yu, Wenbin Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Engineering Research Center of Intelligent Control and Management Department of Automation Shanghai200240 China

ISBN: (纸本)9798350316339

This paper examines the cluster consensus problem of higher-order interaction networks on switching networks. The matrix-valued inter-agent coupling mechanism is employed to capture the higher-order interactions amongst neighboring agents. Specifically, for a higher-order interaction network with both positive definite and positive semi-definite coupling matrices, we examine the scenario in which the nullspace of positive semi-definite coupling matrices is constructed by a set of orthogonal basis vectors. From the perspective of the lower-order component graph -the projection of network structure onto the direction of each orthogonal basis-results on the explicit characterization of cluster consensus of higher-order interaction networks are provided. Moreover, for time-varying higher-order interaction networks, necessary and sufficient conditions are provided to ensure that a time-varying network shares the same steady-state values as the integral time-invariant network. Simulation results are provided to demonstrate the theory. © 2024 IEEE.

关键词： Time varying systems

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