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1st International Conference on the Frontiers of Electronic, Electrical and Information Engineering, ICFEEIE 2024

作者： Zhao, Chaofan Ma, Chunguang Chen, Xu Luo, Yong School of Electronic Science and Engineering University of Electronic Science Technology of China Sichuan Chengdu China School of Electronic Science and Engineering UESTC Chengdu Sichuan China State Key Laboratory of Electromagnetic Space Cognition and Intelligent Control Technology Beijing China

ISBN: (纸本)9798331528300

Range alignment is an important step in the imaging process of inverse synthetic aperture radar (ISAR) radar. In this paper, a novel deep learning network model is proposed to effectively tackle the challenge of distance alignment in millimeter-wave (MMW) ISAR imaging. The proposed model leverages a multi-layer bidirectional long short-term memory (bi-LSTM) network architecture to learn intricate features among echoes, thus facilitating precise alignment along the range direction. Meanwhile transfer learning was used to enhance the adaptability of the model to multiple signal-to-noise ratios (SNR). Experiment results show that the aligned images generated by proposed model in this paper are closer to the reference images in low SNR environments compared to traditional methods. ©2024 IEEE.

关键词： Radar imaging

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Receiver-Agnostic Radio Frequency Fingerprint Identification via Feature Disentanglement 24

Receiver-Agnostic Radio Frequency Fingerprint Identification...

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24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023

作者： Liu, Hongli Zhu, Shaoxian Yang, Liu Li, Qiang Lin, Jingran University of Electronic Science and Technology of China School of Information and Communication Engineering China Laboratory of Electromagnetic Space Cognition and Intelligent Control Beijing100089 China

ISBN: (纸本)9781665496261

The Radio Frequency Fingerprint Identification (RFFI) technique utilizes the subtle and unintentional modulation present in the transmitted RF waveform, caused by the non-ideal characteristics of the device, to uniquely identify an emitter. RFFI has recently gained significant attention, and deep learning (DL) approach has achieved superior performance. In this paper, we study the DL-based RFFI with an emphasis on the fingerprint contamination by receivers. Specifically, during reception, the receivers' fingerprints are inevitably introduced, and different receivers affect emitters' fingerprints differently, thereby degrading recognition performance when the RFFI recognition model is deployed at different receivers. To mitigate the receivers' effect, we propose a receiver-independent recognition model based on the idea of feature disentanglement. With the aid of some carefully designed model structure, loss functions and training strategy, the proposed model learns a feature space, in which the emitters' features are disentangled from the receivers', through multi-receiver's training data. When deploying the model on a new receiver, the emitter-dependent features are exploited to achieve receiver-independent identification. Experiments on two real-world datasets demonstrate that our method significantly outperforms the baseline method without considering fingerprint contamination. © 2023 IEEE.

关键词： Deep learning

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A Sequential Rotation Filtering Network for High Circular Polarization Purity Antenna Array

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IEEE Microwave and Wireless technology Letters 2025年第4期35卷 428-431页

作者： Wu, Sifan Li, Jianxing Yao, Jiahui Cao, Yuanxi Xu, Kai-Da Xi'an Jiaotong University Shaanxi Key Laboratory of Deep Space Exploration Intelligent Information Technology School of Information and Communications Engineering Xi'an710049 China University of Electronic Science and Technology of China Zhejiang Quzhou324000 China

This letter introduces a sequential rotation filtering network (SRFN), enabling a 16×16 antenna array to achieve high circular polarization (CP) purity and enhanced frequency selectivity. The proposed SRFN integrates filtering, power dividing, and phase shifting functions, providing phase states of 0°, 90°, 180°, and 270° at the four output ports with 7th-order filtering response. Moreover, four sets of 8×8 subarrays are arranged orthogonally and connected to the outputs of the SRFN. Finally, a 16×16 antenna array is monolithically fabricated using the 3-D printing technology. Measurement results demonstrate an operating bandwidth (return loss >10 dB) of 27.7-29.6 GHz, with the radiation gain ranging from 29.5 to 30.5 dBic. Due to the proposed SRFN, the in-band axial ratio (AR) remains lower than 0.5 dB, while the out-of-band realized gain suppression exceeds 30 dB/GHz. The proposed SRFN methodology serves as an integrated feeding network for antenna arrays requiring high CP purity and frequency selectivity. © 2023 IEEE.

关键词： Circular polarization

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A combined experimental and analytical method to determine the EHL friction force distribution between rollers and outer raceway in a cylindrical roller bearing

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Friction 2023年第8期11卷 1455-1469页

作者： Yu HOU Xi WANG Di YANG Zeliang XIAO School of Mechanical Electronic and Control EngineeringBeijing Jiaotong UniversityBeijing 100044China Hunan Provincial Key Laboratory of Intelligent Manufacturing Technology for High-performance Mechanical Equipment Changsha University of Science and TechnologyChangsha 410114China

Friction force is a crucial factor causing power loss and fatigue spalling of rolling element bearings.A combined experimental and analytical method is proposed to quantitatively determine the elastohydrodynamic lubrication(EHL)friction force distribution between rollers and outer raceway in a cylindrical roller bearing(CRB).An experimental system with the instrumented bearing and housing was developed for measuring radial load distribution and friction torque of bearings.A simplified model of friction force expressed by dimensionless speed,load,and material parameters was *** inequality constrained optimization problem was established and solved by using an experimental data-driven learning algorithm for determining the uncertain parameters in the *** effect of speed,load,and lubricant property on friction force and friction coefficient was discussed.

关键词： cylindrical roller bearing(CRB) elastohydrodynamic lubrication(EHL) friction force distribution friction torque combined method

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Graph Dual Adversarial Network for Hyperspectral Image Classification

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2023年第4期4卷 922-932页

作者： Cheng, Yuhu Chen, Yang Kong, Yi Philip Chen, C.L. Wang, Xuesong China University of Mining and Technology Engineering Research Center of Intelligent Control for Underground Space Ministry of EducationSchool of Information and Control Engineering Xuzhou221116 China South China University of Technology School of Computer Science and Engineering Guangzhou510006 China

An end-to-end unsupervised domain adaptation method for hyperspectral image (HSI) classification based on a graph dual adversarial network is proposed in this article. First, in order to extract the domain-invariant features of the source and target domains, the rich spectral information and spatial position of HSI are used to construct a spectral-spatial nearest neighbor graph, which is input into the graph convolutional network. Then, a prototype adversarial strategy is proposed, which uses the labeled data of the source domain to reliably calculate the feature prototypes of different classes. Through the prototype adversarial strategy, the distances between different prototypes are appropriately extended, so that the clusters of different classes are far away from their respective decision boundaries, and the discriminability of features are also enhanced. The dual adversarial strategy is composed of the prototype adversarial strategy and the domain adversarial strategy. It is worth noting that the dual adversarial strategy does not require feature extractor and discriminator to work in turn, which can be implemented through a gradient reversal layer. Finally, on the basis of adapting the overall features of both the domains via the domain adversarial strategy, the source- and target-domain features are further adapted by minimizing the correlation alignment loss of each class of samples. Experimental results on two real HSI datasets of Botswana and Kennedy space Center show the effectiveness of our proposed method. © 2020 IEEE.

关键词： Spectroscopy

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Design of an aircraft autonomous traction taxiing system based on hydraulic secondary control

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Chinese Journal of Aeronautics 2024年第6期37卷 348-359页

作者： Xiaochao LIU Zhongyi QIU Hao ZHANG Pengyuan QI Zhenyu WANG Yaoxing SHANG Zongxia JIAO Research Institute for Frontier Science Beihang UniversityBeijing 100083China School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100083China Ningbo Institute of Technology Beihang UniversityNingbo 315800China Tianmushan Laboratory Xixi Octagon CityYuhang DistrictHangzhou 310023China Science and Technology on Aircraft Control Laboratory Beihang UniversityBeijing 100083China Beijing Tianma Intelligent Control Technology Co. Ltd.Beijing 101399China China Coal Research Institute Beijing 100013China

At present,aircraft taxiing at ground airports needs to be provided with a thrust by the main *** taxiing process is inefficient,has high fuel consumption and serious pollution,and is prone to safety *** this paper,a new configuration of aircraft autonomous traction taxiing system is proposed based on the principle of hydraulic secondary control,in which a hydraulic motor drive device is installed at the front wheels of the aircraft to drive the wheels to rotate forward or *** on this,autonomous taxiing can be realized without relying on the main engines,thus greatly improving airport operation ***,this paper analyzes the influencing factors of the autonomous traction taxiing process,and investigates the parameter matching design of the new configuration ***,this paper develops the ground principle prototype,designs the aircraft longitudinal bonding force observer and the aircraft wheel disturbance moment observer,and proposes the speed control method of the aircraft front wheel autonomous traction taxiing by considering the ground bonding force saturation ***,the ground taxiing test is conducted,and the results show that the new configuration proposed in this paper presents a new solution for aircraft autonomous traction taxiing.

关键词： Autonomous traction taxi-ing Hydraulic secondary control Hydraulic motors Saturation characteristics Disturbance observation Speed control

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Learning-based tracking control of AUV:Mixed policy improvement and game-based disturbance rejection

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CAAI Transactions on Intelligence technology 2025年第2期10卷 510-528页

作者： Jun Ye Hongbo Gao Manjiang Hu Yougang Bian Qingjia Cui Xiaohui Qin Rongjun Ding State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle College of Mechanical and Vehicle EngineeringHunan UniversityChangshaChina School of Information Science and Technology and Institute of Advanced TechnologyUniversity of Science and Technology of ChinaHefeiChina Nanyang Technological University SingaporeSingapore Wuxi Intelligent Control Research Institute of Hunan University Hunan UniversityWuxiChina

A mixed adaptive dynamic programming(ADP)scheme based on zero-sum game theory is developed to address optimal control problems of autonomous underwater vehicle(AUV)systems subject to disturbances and safe *** combining prior dynamic knowledge and actual sampled data,the proposed approach effectively mitigates the defect caused by the inaccurate dynamic model and significantly improves the training speed of the ADP ***,the dataset is enriched with sufficient reference data collected based on a nominal model without considering modelling ***,the control object interacts with the real environment and continuously gathers adequate sampled data in the *** comprehensively leverage the advantages of model-based and model-free methods during training,an adaptive tuning factor is introduced based on the dataset that possesses model-referenced information and conforms to the distribution of the real-world environment,which balances the influence of model-based control law and data-driven policy gradient on the direction of policy *** a result,the proposed approach accelerates the learning speed compared to data-driven methods,concurrently also enhancing the tracking performance in comparison to model-based control ***,the optimal control problem under disturbances is formulated as a zero-sum game,and the actor-critic-disturbance framework is introduced to approximate the optimal control input,cost function,and disturbance policy,***,the convergence property of the proposed algorithm based on the value iteration method is ***,an example of AUV path following based on the improved line-of-sight guidance is presented to demonstrate the effectiveness of the proposed method.

关键词： adaptive dynamic programming autonomous underwater vehicle game theory optimal control reinforcement learning

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Knowledge Graph-Based Image Recognition Transfer Learning Method for On-Orbit Service Manipulation

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space(science & technology) 2021年第1期2021卷 164-172页

作者： Ao Chen Yongchun Xie Yong Wang Linfeng Li Beijing Institute of Control Engineering BeijingChina Science and Technology on Space Intelligent Control Laboratory BeijingChina

Visual perception provides state information of current manipulation scene for control system,which plays an important role in on-orbit service *** the development of deep learning,deep convolutional neural networks(CNNs)have achieved many successful applications in the field of visual *** CNNs are only effective for the application condition containing a large number of training data with the same distribution as the test data;however,real space images are difficult to obtain during large-scale ***,deep CNNs can not be directly adopted for image recognition in the task of on-orbit service *** order to solve the problem of few-shot learning mentioned above,this paper proposes a knowledge graph-based image recognition transfer learning method(KGTL),which learns from training dataset containing dense source domain data and sparse target domain data,and can be transferred to the test dataset containing large number of data collected from target *** average recognition precision of the proposed method is 80.5%,and the average recall is 83.5%,which is higher than that of ResNet50-FC;the average precision is 60.2%,and the average recall is 67.5%.The proposed method significantly improves the training efficiency of the network and the generalization performance of the model.

关键词： Service Visual manipulation

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A Novel Principal Component Analysis Algorithm for Fault Detection 43

A Novel Principal Component Analysis Algorithm for Fault Det...

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43rd Chinese control Conference, CCC 2024

作者： Shenhang, Wang Kun, Tian Wei, Zheng Mengyu, Liu Beijing Aerospace Automatic Control Institute Beijing100854 China National Key Laboratory of Science and Technology on Aerospace Intelligent Control Beijing100854 China

ISBN: (纸本)9789887581581

In modern industry, fault detection is very important in high-cost and safety-critical processes. Principal component analysis (PCA) is an effective data-driven approach which is widely used in this field. Conventional PCA is time-invariant, which often lead to false alarms. In order to overcome the false alarms, recursive PCA algorithms have been proposed for adaptive process. However, the amount of calculation of the algorithm is very great because of frequently updated information. In this paper, a novel recursive PCA method is proposed for solving the question by introducing the standard residual method. The standard residual method serves as an indicator of the level of consistency among data, which is used to decide whether or not to update the PCA model. The proposed method is applied to fault detection and experiment results demonstrate the effectiveness of the method. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Errors

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Simulation and Transfer of Physical Image Features Based on Recurrent Generative Adversarial Networks

Simulation and Transfer of Physical Image Features Based on ...

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2024 China Automation Congress, CAC 2024

作者： Dong, Yongxiang Qiu, Chaochao Pan, Qinghui Wu, Feiyue Jiang, Juncheng Lian, Jie Wang, Dong Wang, Wei Key Laboratory of Intelligent Control and Optimization for Industrial Equipment Ministry of Education School of Control Science and Engineering Dalian University of Technology Dalian116024 China

ISBN: (纸本)9798350368604

Training machine learning models in virtual environments often fails to generalize effectively to real-world applications. The discrepancy between simulated and real environments results in suboptimal performance of the learned models. Various approaches have been proposed to address this"simulation-to-reality gap," including refining training images within simulations or randomizing virtual environments to narrow the disparity. A CycleGAN model is used to convert simulated images into real ones for correction, but this method remains task-agnostic and does not preserve task-specific information, which can negatively affect task performance. Critical features, particularly those directly related to the task, may be lost during translation, which can compromise task success. To address this issue, conditional information is introduced during the image transformation process to ensure that task-relevant features, such as location data, are retained. This method makes the transformation task-aware rather than task-agnostic. Additionally, skip connections are implemented to mitigate blurring in the generated images. The proposed method has been trained on a custom dataset from a laboratory environment and validated on a robotic arm. This approach significantly improves the accuracy of image conversion tasks and enhances the efficiency of sim-to-real image translation. © 2024 IEEE.

关键词： Generative adversarial networks

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