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2023 China Automation Congress, CAC 2023

作者： Wang, Ya Wang, Jiaqi Yuan, Shuai Liu, Naijin Lu, Yuanming Qian Xuesen Laboratory of Space Technology China Academy of Space Technology Beijing China Beijing Electro-Mechanical Engineering Institute Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China Unit 63893 of Pla Luoyang China

ISBN: (纸本)9798350303759

In non-cooperative scenarios, wideband frequency hopping (FH) communication reconnaissance including FH signal detection, parameter estimation, and network sorting under single-channel reception is challenging. The FH pattern contains the most information about FH signals. So it is the core of FH parameter estimation. Based on the task analysis, this paper proposes a blind prediction framework combining deep learning (DL) and clustering methods to improve the accuracy and efficiency of FH pattern estimation for mixed signals in the wideband spectrum. The unique advantage of this framework is that it requires no prior signal information and anchors but exploits the inherent time-frequency (TF) properties of asynchronous FH signals. It has a strong generalization ability and can adapt to signals of any shape. Moreover, a new comprehensive evaluation metric, normalized root mean square error including missed detection (NRMSE-MD), suitable for sequence data prediction is proposed to evaluate the level of missed detection and false detection in signal monitoring. Experimental results demonstrate the superiority of the proposed framework and the effectiveness of the proposed evaluation metric. © 2023 IEEE.

关键词： Forecasting

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Inverse synthetic aperture radar imaging based on a multiple norm constrained GOMP algorithm 24

Inverse synthetic aperture radar imaging based on a multiple...

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24th International Vacuum Electronics Conference, IVEC 2023

作者： Wang, Xin Yang, Jing Luo, Yong Li, Xiaoxue Qi, Jiabin University of Electronic Science and Technology of China Sichuan Chengdu611731 China Laboratory of Electromagnetic Space Cognition and Intelligent Control Beijing100089 China

ISBN: (纸本)9781665473217

In this paper, an inverse synthetic aperture radar imaging method based on multiple norm constrained generalized orthogonal matching pursuit (MNGOMP) algorithm is proposed to improve the imaging process of inverse synthetic aperture radar is prone to noise interference in compressed sensing environment. Orthogonal matching pursuit (OMP) and generalized orthogonal matching pursuit (GOMP) converge slowly in radar imaging and are susceptible to noise interference. Therefore, multiple norm constraints were introduced into the iteration update to improve convergence speed and accuracy and enhance noise resistance. The results show that this method is effective in suppressing unnecessary clutter and enhancing desired target. © 2023 IEEE.

关键词： Inverse synthetic aperture radar

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Adaptive Trap-Based Noise Suppression Interference Suppression Algorithm

Adaptive Trap-Based Noise Suppression Interference Suppressi...

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2023 China Automation Congress, CAC 2023

作者： He, Shaoqi Xiao, Liangang Sun, Peng Beijing Aerospace Automatic Control Institute National KeyLaboratory and Technology on Aerospace Intelligence Control Beijing China Beijing Aerospace Automatic Control Institute Committee of Science and Technologyational Key Laboratory of Science and Technology on Aerospace Beijing China Beijing Aerospace Automatic Control Institute Guidance and Detection Division Beijing China

ISBN: (纸本)9798350303759

Aiming at the problem of poor anti-noise interference ability of linear FM fuzes, the noise FM interference suppression method based on adaptive trap is proposed, and the adaptive trap is applied to linear FM fuzes for the single-frequency characteristics of linear FM fuzes generated by the frequency-checking signals. By adaptively adjusting the weights of the trap, the trap has a trapping characteristic at the frequency Dian of the differential frequency signal, so as to achieve the effect of noise FM interference suppression, and experiments show that the algorithm can recover the target echo signal when the interference signal is stronger than the target echo by 10 dB. © 2023 IEEE.

关键词： Frequency modulation

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Intelligent Flight control for Cruise Vehicle Based on Backstepping Design and Reinforcement Learning

Intelligent Flight Control for Cruise Vehicle Based on Backs...

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2023 China Automation Congress, CAC 2023

作者： Liu, Xiaodong Jia, Chenhui Yang, Qingjun Wu, Tiancai Zhang, Yu Beijing Aerospace Automatic Control Institute National Key Laboratory of Science and Technology on Aerospace Intelligence Control Beijing China Beijing Aerospace Automatic Control Institute Beijing China School of Automation Science and Electrical Engineering Beihang University Beijing China

ISBN: (纸本)9798350303759

Aiming at velocity/height tracking control and attitude stabilization for the longitudinal flight of cruise vehicle, the research of intelligent flight control method is carried out by combining the backstepping control theory and the deep reinforcement learning method. Firstly, the longitudinal flight control system of the vehicle is decomposed into velocity and height subsystems, and the control law is designed based on backstepping control theory. Then, aiming at the problems that the selection of the multiple control gains will directly affect the control performance of the closed-loop system and the adjustment process of control gains is cumbersome, the twin delayed deep deterministic policy gradient algorithm (TD3) will be adopted to train the cruise vehicle, so that it can determine the control gains online according to the current flight states. The numerical simulation results show that, the proposed intelligent flight control method can guarantee the high-precision tracking with respect to height and velocity commands, and also realize the attitude stability of cruise vehicle. © 2023 IEEE.

关键词： Reinforcement learning

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The Dynamics Characteristics of Flexible spacecraft and Its Closed-Loop Stability with Passive control

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Journal of Systems science & Complexity 2021年第3期34卷 860-872页

作者： MENG Bin ZHAO Yunbo Beijing Institute of Control Engineering Beijing 100094China Science and Technology on Space Intelligent Control Laboratory Beijing 100094China Zhejiang University of Technology Hangzhou 310014China

Passive control is the most popular methodology for flexible spacecraft while it remains an open problem whether the closed-loop performance can be achieved only with passive control subject to the coupling modes of rigid and ***,the closed-loop performance of passive PD control based on the dynamics of the Euler angle parameterization of spacecraft,which has been widely used in practice,is yet to be *** these challenges,by introducing the input-output exact linearization theory and Lyapunov theory,the authors show that the closed-loop performance for flexible spacecraft with rigid and flexible modes can be achieved by adjusting the parameters of the passive controllers sufficiently *** is done by firstly transforming the flexible spacecraft dynamics into an exact feedback linearization standard form,and then analyzing the closed-loop performance of flexible spacecraft.

关键词： Closed-loop stability flexible spacecraft internal dynamics input-output exact linearization passive control

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The Journey/DAO/TAO of Embodied intelligence: From Large Models to Foundation intelligence and Parallel intelligence

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IEEE/CAA Journal of Automatica Sinica 2024年第6期11卷 1313-1316页

作者： Tianyu Shen Jinlin Sun Shihan Kong Yutong Wang Juanjuan Li Xuan Li Fei-Yue Wang College of Information Science and Technology Beijing University of Chemical TechnologyBeijing 100029China School of Electrical and Information Engineering Jiangsu UniversityZhenjiang 212013China State Key Laboratory for Turbulence and Complex Systems Department of Advanced Manufacturing and RoboticsCollege of EngineeringPeking UniversityBeijing 100871China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Peng Cheng Laboratory Shenzhen 518000China State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China IEEE

THE tremendous impact of large models represented by ChatGPT[1]-[3]makes it necessary to con-sider the practical applications of such models[4].However,for an artificial intelligence(AI)to truly evolve,it needs to possess a physical“body”to transition from the virtual world to the real world and evolve through interaction with the real *** this context,“embodied intelligence”has sparked a new wave of research and technology,leading AI beyond the digital realm into a new paradigm that can actively act and perceive in a physical environment through tangible entities such as robots and automated devices[5].

关键词： intelligence DAO TAO

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Passive Pulse Compression Using a Lossless Dielectric Loaded Waveguide 16

Passive Pulse Compression Using a Lossless Dielectric Loaded...

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16th UK-Europe-China Workshop on Millimetre Waves and Terahertz Technologies, UCMMT 2023

作者： Chen, Bailiang Wang, Weijie Liu, Guo Wu, Zewei Pu, Youlei Wang, Jianxun Luo, Yong University of Electronic Science and Technology of China School of Electronic Science and Engineering Chengdu610054 China Laboratory of Electromagnetic Space Cognition and Intelligent Control Beijing100089 China

ISBN: (纸本)9798350339406

This paper presents a new method to achieve passive pulse compression using a lossless dielectric loaded waveguide (DLW). The method demonstrates an obvious performance in controlling the dispersion characteristics of the DLWs. Efficient pulse compression in a specific frequency range is achieved by varying the radius and thickness. In the simulation, the compression factor of 85.6 is obtained by compressing a linear frequency-modulated pulse with a duration of 20 ns and a frequency range of 34.8-39.8 GHz into a Gaussian-envelope pulse. © 2023 IEEE.

关键词： Chirp modulation

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Design of Wide Stopband and High Suppression Cavity Filter 24

Design of Wide Stopband and High Suppression Cavity Filter

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24th International Vacuum Electronics Conference, IVEC 2023

作者： Zhao, Junyu Ma, Chunguang Zhou, Jinghan Li, Junhui Liu, Jiaming Luo, Yong School of Electronic Science and Engineering University of Electronic Science and Technology of China Chengdu611731 China State Key Laboratory of Electromagnetic Space Cognition and Intelligent Control Technology Beijing100089 China

ISBN: (纸本)9781665473217

Radio frequency filter is the core device to improve the signal to noise ratio of radar. A cavity filter for suppressing high harmonics in Ka band millimeter wave (MMW) radar is presented. The structural parameters of the filter are obtained by theoretical calculation. A cavity filter with the center frequency of 8.1 GHz and the relative bandwidth of 9.80% is designed by using HFSS electromagnetic simulation software. The spurious passband is above twice the frequency of the center frequency. The attenuation of the stopband is greater than 78 dB in 9.2 16 GHz, which can well meet the demand of the need of Ka band MMW radar to suppress high harmonics. © 2023 IEEE.

关键词： Electromagnetic simulation

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Nonlinear flow control mechanism of two flexible flaps with fluid-structure interaction

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Acta Mechanica Sinica 2025年第2期41卷 116-131页

作者： Jiakun Han Chao Dong Jian Zhang Gang Chen College of Science Xi’an University of Science and TechnologyXi’an 710054China Beijing Institute of Space Long March Vehicle Beijing 100076China Science and Technology on Space Physics Laboratory China Academy of Launch Vehicle TechnologyBeijing 100076China State Key Laboratory of Strength and Vibration for Mechanic Structures Shaanxi Key Laboratory of Service Environment and Control for Flight VehiclesSchool of Aerospace EngineeringXi’an Jiaotong UniversityXi’an 710049China

The flow control at low Reynolds numbers is one of the most promising technologies in the field of aerodynamics,and it is also an important source of the innovation for novel *** this study,a new way of nonlinear flow control by interaction between two flexible flaps is proposed,and their flow control mechanism is studied employing the self-constructed immersed boundary-lattice Boltzmann-finite element method(IB-LB-FEM).The effects of the difference in material properties and flap length between the two flexible flaps on the nonlinear flow control of the airfoil are *** is suggested that the relationship between the deformation of the two flexible flaps and the evolution of the vortex under the fluid-structure interaction(FSI).It is shown that the upstream flexible flap plays a key role in the flow control of the two flexible *** FSI effect of the upstream flexible flap will change the unsteady flow behind it and affect the deformation of the downstream flexible *** flexible flaps with different material properties and different lengths will change their own FSI characteristics by the induced vortex,effectively suppressing the flow separation on the airfoil’s upper *** interaction of two flexible flaps plays an extremely important role in improving the autonomy and adjustability of flow *** numerical results will provide a theoretical basis and technical guidance for the development and application of a new flap passive control technology.

关键词： Nonlinear flow control Flexible flap Fluid-structure interaction Flow separation IB-LB-FEM

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Learning Probabilistic Coordinate Fields for Robust Correspondences

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IEEE Transactions on Pattern Analysis and Machine intelligence 2023年第10期45卷 12004-12021页

作者： Zhao, Weiyue Lu, Hao Ye, Xinyi Cao, Zhiguo Li, Xin Huazhong University of Science and Technology The Key Laboratory of Image Processing and Intelligent Control Ministry of Education School of Artificial Intelligence and Automation Wuhan430074 China West Virginia University The Lane Department of Computer Science and Electrical Engineering MorgantownWV26506-6109 United States

We introduce Probabilistic Coordinate Fields (PCFs), a novel geometric-invariant coordinate representation for image correspondence problems. In contrast to standard Cartesian coordinates, PCFs encode coordinates in correspondence-specific barycentric coordinate systems (BCS) with affine invariance. To know when and where to trust the encoded coordinates, we implement PCFs in a probabilistic network termed PCF-Net, which parameterizes the distribution of coordinate fields as Gaussian mixture models. By jointly optimizing coordinate fields and their confidence conditioned on dense flows, PCF-Net can work with various feature descriptors when quantifying the reliability of PCFs by confidence maps. An interesting observation of this work is that the learned confidence map converges to geometrically coherent and semantically consistent regions, which facilitates robust coordinate representation. By delivering the confident coordinates to keypoint/feature descriptors, we show that PCF-Net can be used as a plug-in to existing correspondence-dependent approaches. Extensive experiments on both indoor and outdoor datasets suggest that accurate geometric invariant coordinates help to achieve the state of the art in several correspondence problems, such as sparse feature matching, dense image registration, camera pose estimation, and consistency filtering. Further, the interpretable confidence map predicted by PCF-Net can also be leveraged to other novel applications from texture transfer to multi-homography classification. © 1979-2012 IEEE.

关键词： Image registration

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