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Hierarchically Distributed Optimization with a Flexible and Complexity-Reducing Algorithm

Journal of systems Science & Complexity 2024年第6期37卷 2530-2555页

作者： LIANG Shu ZHANG Lei WEI Yiheng LIU Yemo Department of Control Science and Engineering Tongji UniversityShanghai 200092China Shanghai Research Institute for Intelligent Autonomous Systems Shanghai 200092China School of Mathematics Southeast UniversityNanjing 211189China Beijing Aerospace Automatic Control Institute Beijing 100854China

In this paper,the authors consider distributed convex optimization over hierarchical *** authors exploit the hierarchical architecture to design specialized distributed algorithms so that the complexity can be reduced compared with that of non-hierarchically distributed *** this end,the authors use local agents to process local functions in the same manner as other distributed algorithms that take advantage of multiple agents'computing ***,the authors use pseudocenters to directly integrate lower-level agents'computation results in each iteration step and then share the outcomes through the higher-level network formed by *** authors prove that the complexity of the proposed algorithm exponentially decreases with respect to the total number of *** support the proposed decomposition-composition method for agents and pseudocenters,the authors develop a class of *** operators are generalizations of the widely-used subgradient based operator and the proximal operator and can be used in distributed convex ***,these operators are closed with respect to the addition and composition operations;thus,they are suitable to guide hierarchically distributed design and ***,these operators make the algorithm flexible since agents with different local functions can adopt suitable operators to simplify their ***,numerical examples also illustrate the effectiveness of the method.

关键词： Complexity convergence convex optimization distributed algorithm hierarchical network

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LFM Radar Source Passive Localization Algorithm Based on Range Migration

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Journal of Beijing institute of technology 2024年第2期33卷 130-140页

作者： Dandan Li Deyi Wang Hao Huan Beijing Key Laboratory of Fractional Signals and Systems School of Information and ElectronicsBeijing Institute of TechnologyBeijing 100081China Beijing Aerospace Automatic Control Institute Beijing 100854China

Traditional single-satellite passive localization algorithms are influenced by frequency and angle measurement accuracies,resulting in error estimation of emitter position on the order of ***,a single-satellite localization algorithm based on passive synthetic aper-ture(PSA)was introduced,enabling high-precision ***,its estimation of azimuth and range distance is considerably affected by the residual frequency offset(RFO)of uncoopera-tive system ***,it requires data containing a satellite flying over the radia-tion source for RFO *** estimating the RFO,an accurate estimation of azimuth and range distance can be carried out,which is difficult to achieve in practical *** LFM radar source passive localization algorithm based on range migration is proposed to address the dif-ficulty in estimating frequency *** algorithm first provides a rough estimate of the pulse repetition time(PRT).It processes intercepted signals through range compression,range interpola-tion,and polynomial fitting to obtain range migration ***,it uses the changing information of range migration and an accurate PRT to formulate a system of nonlinear equations,obtaining the emitter position and a more accurate PRT through a two-step localization *** offset only induces a fixed offset in range migration,which does not affect the changing *** algorithm can also achieve high-precision localization in squint ***,the effectiveness of this algorithm is verified through simulations.

关键词： passive localization range migration residual frequency offset

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automatic recognition of emergency vehicles in images from video recorders 27

Automatic recognition of emergency vehicles in images from v...

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27th IEEE Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2024

作者： Balcerek, Julian Pawlowski, Pawel Dolny, Krzysztof Skotnicka, Julia Poznan University of Technology Division of Signal Processing and Electronic Systems Institute of Automatic Control and Robotics Poland

ISBN: (纸本)9788362065486

In this article, a system for automatic recognition, including detection and classification, of emergency vehicles based on images from video recorders is proposed. The system utilizes YOLO v8 artificial neural network. Recognition accuracy tests were conducted on a specially prepared database of frames from real recordings. It includes marked and unmarked police vehicles (which are very difficult to distinguish and typically not included in automatic recognition systems), fire, ambulance, military vehicles and other reference images. The experiments concerned the recognition of vehicle types and the state of emergency lighting. The highest value of total (for all classes) F1 measure is over 86%. In selected classes the F1 reaches 91%, while precision is 94% and sensitivity is 89%. They can be considered as satisfactory results, what indicates the possibility of using the presented system in practice. © 2024 Division of Signal Processing and Electronic systems, Poznan University of technology (DSPES PUT).

关键词： Videocassette recorders

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Cooperative decision-making algorithm with efficient convergence for UCAV formation in beyond-visual-range air combat based on multi-agent reinforcement learning

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Chinese Journal of Aeronautics 2024年第8期37卷 311-328页

作者： Yaoming ZHOU Fan YANG Chaoyue ZHANG Shida LI Yongchao WANG School of Aeronautic Science and Engineering Beihang UniversityBeijing 100191China Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and ControlZhejiang UniversityHangzhou 310027China

Highly intelligent Unmanned Combat Aerial Vehicle(UCAV)formation is expected to bring out strengths in Beyond-Visual-Range(BVR)air *** Multi-Agent Reinforcement Learning(MARL)shows outstanding performance in cooperative decision-making,it is challenging for existing MARL algorithms to quickly converge to an optimal strategy for UCAV formation in BVR air combat where confrontation is complicated and reward is extremely sparse and *** to solve this problem,this paper proposes an Advantage Highlight Multi-Agent Proximal Policy Optimization(AHMAPPO)***,at every step,the AHMAPPO records the degree to which the best formation exceeds the average of formations in parallel environments and carries out additional advantage sampling according to ***,the sampling result is introduced into the updating process of the actor network to improve its optimization ***,the simulation results reveal that compared with some state-of-the-art MARL algorithms,the AHMAPPO can obtain a more excellent strategy utilizing fewer sample episodes in the UCAV formation BVR air combat simulation environment built in this paper,which can reflect the critical features of BVR air *** AHMAPPO can significantly increase the convergence efficiency of the strategy for UCAV formation in BVR air combat,with a maximum increase of 81.5%relative to other algorithms.

关键词： Unmanned combat aerial vehicle(UCAV)formation Decision-making Beyond-visual-range(BVR)air combat Advantage highlight Multi-agent reinforcement learning(MARL)

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automatic recognition of dangerous objects in front of the vehicle's windshield 27

Automatic recognition of dangerous objects in front of the v...

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27th IEEE Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2024

作者： Balcerek, Julian Pawlowski, Pawel Cierpiszewska, Julia Kus, Lukasz Zborowski, Piotr Institute of Automatic Control and Robotics Poznan University of Technology Division of Signal Processing and Electronic Systems Poland

ISBN: (纸本)9788362065486

In this article, an automatic recognition system, of objects that threaten the safety of vehicle users is proposed. These objects are detected in front of the vehicle's windshield based on images from video recorders and then classified. The tests were conducted using artificial neural networks on a specially prepared database of frames from real recordings. Recognized objects include: car wheels, car parts, birds, stones and ice. They were recognized in single- and multi-class detections for various parameters of the network model. Detection efficiency of 95% was achieved in the best case. © 2024 Division of Signal Processing and Electronic systems, Poznan University of technology (DSPES PUT).

关键词： Videocassette recorders

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Social Robot Detection Method with Improved Graph Neural Networks

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Computers, Materials & Continua 2024年第2期78卷 1773-1795页

作者： Zhenhua Yu Liangxue Bai Ou Ye Xuya Cong Institute of Systems Security and Control College of Computer Science and TechnologyXi’an University of Science and TechnologyXi’an710054China

Social robot accounts controlled by artificial intelligence or humans are active in social networks,bringing negative impacts to network security and social *** social robot detection methods based on graph neural networks suffer from the problem of many social network nodes and complex relationships,which makes it difficult to accurately describe the difference between the topological relations of nodes,resulting in low detection accuracy of social *** paper proposes a social robot detection method with the use of an improved neural ***,social relationship subgraphs are constructed by leveraging the user’s social network to disentangle intricate social relationships ***,a linear modulated graph attention residual network model is devised to extract the node and network topology features of the social relation subgraph,thereby generating comprehensive social relation subgraph features,and the feature-wise linear modulation module of the model can better learn the differences between the ***,user text content and behavioral gene sequences are extracted to construct social behavioral features combined with the social relationship subgraph ***,social robots can be more accurately identified by combining user behavioral and relationship *** carrying out experimental studies based on the publicly available datasets TwiBot-20 and Cresci-15,the suggested method’s detection accuracies can achieve 86.73%and 97.86%,*** with the existing mainstream approaches,the accuracy of the proposed method is 2.2%and 1.35%higher on the two *** results show that the method proposed in this paper can effectively detect social robots and maintain a healthy ecological environment of social networks.

关键词： Social robot detection social relationship subgraph graph attention network feature linear modulation behavioral gene sequences

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Resource Allocation of Large-Scale Communication Network based on Machine Learning 2

Resource Allocation of Large-Scale Communication Network bas...

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2nd IEEE International Conference on Integrated Circuits and Communication systems, ICICACS 2024

作者： Zhang, Zhuxin Mo, Ruifeng Hou, Xiaoqi Wei, Xin Guo, Suzhen Research Institute North Automatic Control Technology Taiyuan China

ISBN: (纸本)9798350317558

With the continuous development of mobile Internet technology, its demand for network performance is also increasing. Although the traditional multi-level structure of network resources enhances the scalability and independence of the network, it cannot be used effectively, nor can it intelligently configure network resources. To this end, this paper explores a new network resource allocation method, namely, a machine learning-based large-scale communication network resource allocation method. This paper first explains the concepts of communication network resource allocation and machine learning, and then proposes the principle of communication network resource allocation based on machine learning. Finally, through experiments, this paper analyzes that the bandwidth utilization rate, data delay and packet loss rate of the communication network resource allocation based on the method in this paper are 78%, 5ms and 0.05%, respectively, and the comprehensive performance is better than other communication network resource allocation methods. © 2024 IEEE.

关键词： Communication Network Resource Allocation Information Age Machine Learning Optimization Capability

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Design of Individual Soldier Multimedia Command and control System Based on Ad Hoc Wireless Mesh Network 11

Design of Individual Soldier Multimedia Command and Control ...

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11th International Conference on Dependable systems and Their Applications, DSA 2024

作者： Li, Yuanheng Ju, Zhangfeng Ma, Wenxiu Xue, Wenjun Guo, Yifan North Automatic Control Technology Institute Shanxi Taiyuan China

ISBN: (纸本)9798331532390

With the ongoing advancements in battlefield communication and multimedia transmission technologies, it has become feasible to transmit multimedia information from individual soldiers to back-end command centers. This study investigates Mesh ad hoc network technology to design processes for streaming media transmission, control, and display. Consequently, a multimedia command system leveraging Mesh ad hoc networks is proposed to facilitate the effective transmission and management of multimedia data between individual soldiers' front-end devices and the back-end command platform. © 2024 IEEE.

关键词： Ad hoc networks

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Data Quality Evaluation Method Based on Density Clustering Algorithm and Its Application 1

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13th International Conference on Frontier Computing, FC 2023

作者： Zhao, Limin Liu, Guangcai Wei, Peng Zhang, Wenbin Sun, Li Qiao, Peihao North Automatic Control Technology Institute Shanxi Taiyuan China

ISBN: (数字)9789819995387

ISBN: (纸本)9789819995370

Data quality assessment is mainly to analyze, evaluate and calculate the collected original information, and then to obtain the decision results. At present, there are many research methods for data quality. Through density clustering of data, we can get some parameters. This paper proposes a new data quality evaluation model to improve the performance of products and services. This paper mainly analyzes the data quality evaluation model by using experimental comparison and density clustering algorithm analysis. The experimental data shows that because the weight of the precision rule set in the evaluation is 0.18, the precision evaluation value in the final evaluation value is 14.99. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Clustering algorithms

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Three-Dimensional Cooperative Guidance Against Aerial Target for Unpowered Glide Vehicle

Three-Dimensional Cooperative Guidance Against Aerial Target...

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2024 China Automation Congress, CAC 2024

作者： Li, Bocun Li, Ling Zhang, Huaming Zhu, Yichuan National Key Laboratory of Science and Technology on Aerospace Intelligence Control Beijing Aerospace Automatic Control Institute Beijing China Committee of Science and Technology Beijing Aerospace Automatic Control Institute Beijing China

ISBN: (纸本)9798350368604

This paper investigates the spatial-temporal guidance problem for multiple unpowered High-speed Glid Vehicles (HGV). First, a 3D vector guidance law is given by extending the traditional 2D guidance law to 3D scenario, in which the terminal angle constraint and time-coordination of multiple HGVs are satisfied. Then, the time-to-go estimation problem considering moving target for HGV without active velocity control is addressed by numerical integration, and from which predictive intercepting point (PIP) is gained, thus the problem of intercepting a moving target simultaneously is simplified as guiding multiple HGVs to hit a fixed point along different directions at same time. Taking into account that aerial target can evade threats through terminal maneuvering, an extended state observer is used to estimate the acceleration of target. Accordingly, a sliding mode terminal guidance law designed in the framework of Line-of-Sight (LOS), which is different from the previous guidance law, is used to compensate the disturbance caused by the maneuvering target. Unlike similar existing results, the proposed guidance strategy for HGV can satisfy spatial-temporal constraints when the target is moving or maneuvering, and the guidance law designed in this paper is appropriate for unpowered vehicles without constant velocity. Numerical simulations are provided to show the effectiveness of the proposed cooperative guidance law. © 2024 IEEE.

关键词： State estimation

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