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2024 China Automation Congress, CAC 2024

作者： Chen, Bowen Yue, Jiangfeng Shi, Mengji Li, Weihao Lin, Boxian Zhao, Linggong Qin, Kaiyu School of Aeronautics and Astronautics University of Electronic Science and Technology of China Chengdu China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province Chengdu China Chinese Aeronautical Establishment Beijing China

ISBN: (纸本)9798350368604

Privacy issues, communication constraints and convergence performance are key factors for expanding applications of multi-agent systems, but considering the above three factors simultaneously has not been well addressed. In order to extend the practical application scenarios and fill such gaps, the paper proposes an improved prescribed-time privacy-preserving consensus method based on event-triggered mechanism. Unlike the traditional privacy protection scheme, proposed method adopts a decentralized (executed separately by every agent), time-varying transformation to encrypt the information. Agents encode their true states in virtue of independent key before transmitting them, which makes the agents' internal states indecipherable from others. On this basis, the prescribed-time theory is introduced to achieve convergence at any specified time within the range allowed by the actuator performance. In addition, event-triggered mechanism can effectively relieve the actuator pressure caused by frequent updates and reduce computational resource consumption. Finally, the validity of theoretical results is verified by numerical simulation experiments. © 2024 IEEE.

关键词： Differential privacy

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Minimizing Data Collection Latency for Coexisting Time-Critical Wireless Networks With Tree Topologies

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IEEE Transactions on Network and Service Management 2025年第3期22卷 2354-2369页

作者： Zhang, Jialin Liang, Wei Yang, Bo Shi, Huaguang Liang, Ying-Chang Shenyang Institute of Automation Key Laboratory of Networked Control System Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang110016 China Northwest A&F University College of Information Engineering Xianyang712100 China Henan University School of Artificial Intelligence Zhengzhou450046 China University of Electronic Science and Technology of China Center for Intelligent Networking and Communications Chengdu611731 China

Time-Critical Wireless Network (TCWN) is a promising communication technology that can satisfy the low latency, high reliability, and deterministic requirements of mission-critical applications. Multiple TCWNs required by various applications inevitably coexist with each other. Most existing works aim to achieve acceptable latency or consider the simplest topology (i.e., line topology). As latency requirements become more stringent, exploring the minimum data collection latency becomes an interesting problem. In this paper, the coexisting system consists of multiple tree-topology-based TCWNs. We first establish a conversion framework to convert an arbitrary tree topology into multiple analogous line topologies to reduce the analysis complexity. We then propose a Time-Critical wireless network Scheduling (TCS) algorithm to minimize the data collection latency of coexisting TCWNs. The TCS algorithm consists of two phases. In the internetwork scheduling phase, we strictly derive a general expression to characterize the practical network requirements. In the intranetwork scheduling phase, we design two levels of priority assignment algorithms to accurately characterize the critical states and resource requirements of different nodes. We conduct extensive simulations to verify the effectiveness of the TCS algorithm. The evaluation results show that the TCS algorithm can achieve minimum data collection latency in more than 99.956% cases, and the maximum difference compared to the optimal value is one time slot. © 2004-2012 IEEE.

关键词： Scheduling algorithms

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FlightAR: AR Flight Assistance Interface with Multiple Video Streams and Object Detection Aimed at Immersive Drone control

arXiv

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arXiv 2024年

作者： Sautenkov, Oleg Asfaw, Selamawit Yaqoot, Yasheerah Mustafa, Muhammad Ahsan Fedoseev, Aleksey Trinitatova, Daria Tsetserukou, Dzmitry Intelligent Space Robotics Laboratory Center for Digital Engineering Skolkovo Institute of Science and Technology Russia

The swift advancement of unmanned aerial vehicle (UAV) technologies necessitates new standards for developing human-drone interaction (HDI) interfaces. Most interfaces for HDI, especially first-person view (FPV) goggles, limit the operator’s ability to obtain information from the environment. This paper presents a novel interface, FlightAR, that integrates augmented reality (AR) overlays of UAV first-person view (FPV) and bottom camera feeds with head-mounted display (HMD) to enhance the pilot’s situational awareness. Using FlightAR, the system provides pilots not only with a video stream from several UAV cameras simultaneously, but also the ability to observe their surroundings in real time. User evaluation with NASA-TLX and UEQ surveys showed low physical demand (µ = 1.8, SD = 0.8) and good performance (µ = 3.4, SD = 0.8), proving better user assessments in comparison with baseline FPV goggles. Participants also rated the system highly for stimulation (µ = 2.35, SD = 0.9), novelty (µ = 2.1, SD = 0.9) and attractiveness (µ = 1.97, SD = 1), indicating positive user experiences. These results demonstrate the potential of the system to improve UAV piloting experience through enhanced situational awareness and intuitive control. The code is available here: https://***/Sautenich/FlightAR © 2024, CC BY-NC-ND.

关键词： Helmet mounted displays

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Design and Cold Test of a Mode-Suppression Circuit for the G-Band Gyro-TWT

Design and Cold Test of a Mode-Suppression Circuit for the G...

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International Conference on Vacuum Electronics

作者： Yingjian Cao Guo Liu Yuan Ma Yu Wang Weijie Wang Wei Jiang Yelei Yau Jianxun Wang Yong Luo University of Electronic Science and Technology of China Chengdu China Laboratory of Electromagnetic Space Cognition and Intelligent Control Beijing China

In this paper, the design and measurement of a mode-suppression circuit used in the nonlinear interaction region for a G-band gyrotron travelling wave tube (gyro-TWT) are presented. By achieving sufficient coupling losses, this circuit can effectively suppress the parasitic oscillations without affecting the operating mode, thus improving the tube stability during high power operation. The measured results agree well with the simulated results, which can provide a loss of 5.6 dB/cm to suppress the backward-wave oscillation (BWO) of the TE21 mode. This proves that the circuit can be used as a new scheme for gyro- TWTs to achieve high stability and high power.

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Input-Reflectionless MMIC Bandpass Filter With High-Selectivity Based on GaAs IPD technology

Input-Reflectionless MMIC Bandpass Filter With High-Selectiv...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Jiancheng Dong Jian Fang Yingbin Cai Xu Zhu Tao Yang Nanhu Laboratory Research Center of Advanced RF Chips and Systems Jiaxing China Laboratory of Electromagnetic Space Cognition and Intelligent Control Technology Beijing China University of Electronic Science and Technology of China Chengdu China

ISBN: (数字)9798350356830

ISBN: (纸本)9798350356847

An input-reflectionless monolithic microwave integrated circuit (MMIC) bandpass filter (BPF) with high-selectivity using gallium arsenide (GaAs) integrated passive device (IPD) technology is proposed, which consists of bandstop section and bandpass section. Multiple transmission zeros can be obtained from capacitor and inductor in the bandpass section. The bandstop section is loaded at the input-port of the filter to realize the absorption of the reflected signal and improve the frequency selectivity and out-of-band suppression. A prototype centered at 1.94 GHz with the 3-dB fractional bandwidth of 59.4% is designed for demonstration, which exhibits excellent frequency selectivity and the minimum insertion loss of 1.9 dB.

关键词： Band-pass filters Performance evaluation Radio frequency Time-frequency analysis Absorption Gallium arsenide Transceivers System-on-chip Microwave filters Inductors

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Deep Learning Based Signal Detector for OFDM Systems

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China Communications 2023年第12期20卷 66-77页

作者： Guangliang Pan Wei Wang Minglei Li Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space Ministry of Industry and Information TechnologyCollege of Electronic and Information EngineeringNanjing University of Aeronautics and AstronauticsNanjing 211106China College of Control Science and Engineering China University of Petroleum(East China)Qingdao 266580China

In this paper,we propose a novel deep learning(DL)-based receiver design for orthogonal frequency division multiplexing(OFDM)*** entire process of channel estimation,equalization,and signal detection is replaced by a neural network(NN),and hence,the detector is called a NN detector(N^(2)D).First,an OFDM signal model is *** analyze both temporal and spectral characteristics of OFDM signals,which are the motivation for ***,the generated data based on the simulation of channel statistics is used for offline training of bi-directional long short-term memory(Bi-LSTM)***,a discriminator(F)is added to the input of Bi-LSTM NN to look for subcarrier transmission data with optimal channel gain(OCG),which can greatly improve the performance of the ***,the trained N^(2)D is used for online recovery of OFDM *** performance of the proposed N^(2)D is analyzed theoretically in terms of bit error rate(BER)by Monte Carlo simulation under different parameter *** simulation results demonstrate that the BER of N^(2)D is obviously lower than other algorithms,especially at high signal-to-noise ratios(SNRs).Meanwhile,the proposed N^(2)D is robust to the fluctuation of parameter values.

关键词： channel estimation deep learning OFDM optimal channel gain signal detection

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Predefined-time prescribed performance guidance law design against maneuvering target under input saturation 2

Predefined-time prescribed performance guidance law design a...

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2023 2nd International Conference on Aerospace and control Engineering, ICoACE 2023

作者： Wei, Zhenyan Li, Jianfeng You, Weishuai Song, Shenmin Shi, Xiaoping Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Institute of Mechanical and Electrical Engineering Beijing100072 China School of Astronautics Harbin Institute of Technology No. 92 West Dazhi Street Nangang District Harbin150001 China

A novel SMC-based prescribed performance guidance law combined with a base generator (TBG) is proposed. A TBG-based modified Lyapunov function is first proposed, which ensures that the LOS tracking error converges into zero within a predefined time. A novel sliding manifold with adjusting convergent time property is proposed, which brings about a smaller control magnitude and predefined time convergent rate. To ensure a satisfied transit and steady performance, some converted variables are defined based on which a novel prescribed performance guidance law is constructed. The input saturation problem is properly solved by designing a novel TBG-based one-order auxiliary system. Extensive simulation results have verified the effectiveness of the proposed method. © Published under licence by IOP Publishing Ltd.

关键词： Lyapunov functions

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Secure Beamforming Design for IRS-ISAC Systems with a Hardware-Efficient Hybrid Beamforming Architecture

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IEEE Transactions on Vehicular technology 2025年

作者： Xiong, Weijie Zhao, Zhenglan Lin, Jingran Xiao, Zhiling Li, Qiang University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu611731 China Laboratory of Electromagnetic Space Cognition and Intelligent Control Beijing100083 China Tianfu Jiangxi Laboratory Sichuan Chengdu641419 China

In this paper, we employ a hardware-efficient hybrid beamforming (HB) architecture to achieve balanced performance in an intelligent reflecting surface (IRS)-assisted integrated sensing and communication (ISAC) system. We consider a scenario where a multi-antenna, dual-function base station (BS) performs secure beamforming for a multi-antenna legitimate receiver while simultaneously detecting potential targets. Our objective is to maximize the communication secrecy gap by jointly optimizing the analog and digital beamformers, IRS reflection coefficients, and radar scaling factor, subject to constraints on beampattern similarity, total transmit power budget, and the constant modulus of both the analog beamformer and IRS reflection coefficients. This secrecy gap maximization problem is generally non-convex. To address this, we incorporate the exterior penalty method by adding the radar constraint as a penalty term in the objective function. We then propose an efficient approach based on the penalty dual decomposition (PDD) framework to solve the reformulated problem, featuring closed-form solutions at each step and guaranteeing convergence to a stationary point. Simulation results validate the effectiveness of the proposed algorithm and demonstrate the superiority of the IRS-ISAC system with HB architecture in balancing performance and hardware costs. © 1967-2012 IEEE.

关键词： Convex optimization

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Combined active and passive adaptive variable admittance compliant control for space robotic manipulators

Combined active and passive adaptive variable admittance com...

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2023 IEEE International Conference on Robotics and Biomimetics, ROBIO 2023

作者： Gao, Hang Zhang, Xiaodong Ma, Chao Zhou, Cheng University of Science and Technology Beijing School of Mechanical Engineering Beijing100083 China Beijing Institute of Spacecraft System Engineering Cast Beijing Key Laboratory of Intelligent Space Robotic Systems Technology and Application China

ISBN: (纸本)9798350325706

This paper develops a combined active and passive adaptive variable admittance compliant control algorithm for space robotic manipulators. In fact, the assembly task for space robots requires compliance and precision while ensuring avoidance of any occurrences of rigid collision throughout the process. Therefore, we design a new combined active and passive variable admittance control structure combined with the following three parts to meet these acquirements. Firstly, we develop an active variable admittance algorithm to facilitate the space robot rapid movement, enabling it to achieve higher speeds while maintaining compliance. Then, to mitigate the occurrence of unforeseen rigid collisions during the robot motion, we devise a passive variable admittance control algorithm, which aims to minimize the impact of collision events and ensure the robot safe operation. Furthermore, by employing the Lyapunov theory, a new active adaptive variable admittance control algorithm is presented for robot constant force output. Consequently, through contrast experiments, we demonstrate the effectiveness and enhanced performance of the proposed algorithm. © 2023 IEEE.

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Unifying Visual and Vision-Language Tracking via Contrastive Learning

arXiv

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arXiv 2024年

作者： Ma, Yinchao Tang, Yuyang Yang, Wenfei Zhang, Tianzhu Zhang, Jinpeng Kang, Mengxue Deep Space Exploration Laboratory School of Information Science and Technology University of Science and Technology of China China Intelligent Science Technology Academy of CASIC China

Single object tracking aims to locate the target object in a video sequence according to the state specified by different modal references, including the initial bounding box (BBOX), natural language (NL), or both (NL+BBOX). Due to the gap between different modalities, most existing trackers are designed for single or partial of these reference settings and overspecialize on the specific modality. Differently, we present a unified tracker called UVLTrack, which can simultaneously handle all three reference settings (BBOX, NL, NL+BBOX) with the same parameters. The proposed UVLTrack enjoys several merits. First, we design a modality-unified feature extractor for joint visual and language feature learning and propose a multi-modal contrastive loss to align the visual and language features into a unified semantic space. Second, a modality-adaptive box head is proposed, which makes full use of the target reference to mine ever-changing scenario features dynamically from video contexts and distinguish the target in a contrastive way, enabling robust performance in different reference settings. Extensive experimental results demonstrate that UVLTrack achieves promising performance on seven visual tracking datasets, three vision-language tracking datasets, and three visual grounding datasets. Codes and models will be open-sourced at https://***/OpenspaceAI/UVLTrack. Copyright © 2024, The Authors. All rights reserved.

关键词： Semantics

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