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2024 3rd International Conference on Electrical, control and Information Technology, ECITech 2024

作者： Wu, Ruizhuo Xu, Xin He, Ming Liu, Daxue Zhang, Xinglong College of Intelligence Science and Technology National University of Defense Technology Hunan Changsha410073 China Institute of Command and Control Engineering Army Engineering University Jiangsu Nanjing210007 China

This paper proposed a learning predictive control method for wheeled mobile robots with communication delays. In consideration of the property in the Networked control System (NCS), communication delay was divided into two types: delay from sensor to controller and delay from controller to actuator. For each type of delay, state prediction and state augmentation techniques were utilized respectively to diminish their passive impact on the control of WMR. Then receding horizon reinforcement learning approach was adopted to learn the optimal policy based on the delay compensation. Finally, simulations were performed applying the proposed method to the trajectory tracking of WMR and showed the validity of the proposed scheme. © 2024 Published under licence by IOP Publishing Ltd.

关键词： Mobile robots

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SDN-based Connectivity Restoration for Partitioned Flying Ad hoc Networks

SDN-based Connectivity Restoration for Partitioned Flying Ad...

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International Conference on Computer and Communications (ICCC)

作者： Yaqun Liu Jun Xie Xijian Luo Yuan He College of Command and Control Engineering Army Engineering University of PLA Nanjing China

Due to possible failure of unmanned aerial vehicles (UAVs), a connected flying ad hoc network (FANET) may be divided into multiple sub-networks. In this case, the FANET connectivity should be restored in a short time and at a low cost. In this paper, we investigate the FANET connectivity restoration when a FANET is split. Firstly, in order to restore the FANET connectivity in a centralized manner, we propose a software-defined networking (SDN)-based FANET architecture. The process of FANET connectivity restoration is designed based on this architecture. Secondly, we propose a UAV scheduling algorithm based on greedy idea to calculate the position to which each mission UAV needs to move, so that the FANET connectivity can be restored through mission UAV movement. This algorithm should be invoked by the SDN controller. Numerical results show that our approach can restore the FANET connectivity with a lower total movement distance and a lower maximum movement distance than three other baselines.

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UAV Covert Communications in Interweave Cognitive Radio Network

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IEEE Transactions on Cognitive Communications and Networking 2025年

作者： Wei, Jianyu Guo, Yan Wang, Haichao He, Ming Gu, Jiangchun Lin, Shengbin Ding, Guoru PLA Army Engineering University College of Communications Engineering Nanjing210007 China PLA Army Engineering University College of Command and Control Engineering Nanjing210007 China

The security issues of the secondary network in the interweave cognitive radio network (CRN) enabled by covert communication techniques are limited by the fixed position of the secondary transmitter and the flexible deployment of Wardens. In this article, we consider a interweave aerial CRN covert communication system, where the mobility of the unmanned aerial vehicle (UAV) could improve the security of CRN. A cooperative jamming scheme is also considered by the full-duplex mode of the secondary receiver (SR) to disturb the surveillance of Warden. We deduce the close-form expression of Warden’s minimal detection error probability under the uncertainty of the channel gain and noise variance. The covert rate of the secondary network is maximized by joint optimization of the transmit power and the location of UAV, the sensing time ratio, and the jamming power of SR. To solve the complex non-convex problem, an iterative algorithm based on successive convex approximation, the bisection search, and block coordinate descent techniques is proposed. Furthermore, the impact of each optimization variable on the covert rate is analyzed. Simulation results reveal that the covert rate of the proposed algorithm outperforms the other schemes in single-Warden and multi-Warden scenarios. Moreover, compared to the fixed position base station, the UAV could significantly improve the CRN covert communication in the single-Warden and multi-Warden scenarios. © 2015 IEEE.

关键词： Drones

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Ontology Dependence Closure based on Privacy Association 8

Ontology Dependence Closure based on Privacy Association

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8th International Conference on Dependable Systems and Their Applications, DSA 2021

作者： Wang, Meijuan Huang, Song Li, Hui Han, Jingli Army Engineering University of PLA Command and Control Engineering College China

ISBN: (纸本)9781665443913

Given the problem of path redundancy by XML hierarchy itself and its inconsistent data and incomplete specification, the existing research results are used to analyze the deficiencies of structure dependency and numerical dependency, and the semantics are defined from the perspective of user semantics to obtain the inherent semantic association of data. This paper first defines the connotation of semantic constraints, and marks the user entities, and then gives the formal description of semantic dependency. Through the validity and completeness of the inference rules and semantic dependent closure sets, the completeness proof of semantic constraints is given. Finally, a complete theoretical system of semantic-dependent ontology privacy association is given, and the ontology semantic dependency closure set has a certain theoretical value and practical value of data mining and access authorization. © 2021 IEEE.

关键词： Semantics

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A New Infrared and Visible Image Fusion Method Based on Generative Adversarial Networks and Attention Mechanism 2021

A New Infrared and Visible Image Fusion Method Based on Gene...

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4th International Conference on Image and Graphics Processing, ICIGP 2021

作者： Wang, Jixiao Li, Yang Miao, Zhuang Command and Control Engineering College Army Engineering University of PLA China

ISBN: (纸本)9781450389105

With various attention mechanisms were proposed, the application of attention mechanisms in the different deep learning tasks has occurred. Meanwhile, most practices and experiments demonstrate that the attention mechanism can help convolutional networks to capture the critical features and raise the performance of the CNNs. In image fusion field, few methods including attention mechanisms are used to integrate the images containing different modalities. In this paper, so, we utilize three types of attention mechanisms which are self-attention, dual attention and multi-scale attention to add into the basic network of image fusion for developing the performance of the fused images. Since the traditional convolutional neural networks and generative adversarial networks (GAN) have some shortcomings, the modified GAN is treated as the basic network. Besides, the dilated convolution is used into the basic network because it can enlarge the convolutional map and receptive field of the kernels under the same kernel size condition. By the experimental comparison, the multi-scale attention is the best practice for infrared and visible image fusion. And the extensive experimental results show that our method can enhance the contrast of the fused image and preserve more thermal and detail information. © 2021 ACM.

关键词： Generative adversarial networks

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Aerial Reconfigurable Intelligent Surface-Aided Wireless Communications Against the Moving Jamming

Aerial Reconfigurable Intelligent Surface-Aided Wireless Com...

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IEEE Information Technology, Networking, Electronic and Automation control Conference

作者： Qiao Su Guoxuan Li Ying Huang Xintong Song Chaoran Liu Mingxi Guo College of Communications Engineering Army Engineering University of PLA Nanjing China College of Command and Control Engineering Army Engineering University of PLA Nanjing China

This paper discusses the problem of anti-jamming communication for combating the moving aerial malicious jamming, where an aerial reconfigurable intelligent surface (ARIS) is considered to assist the ground communications and suppress the malicious jamming. To avoid the destructive attacks, the ARIS flies with a adjusted trajectory. The hierarchical optimization algorithm, which contains two layers, is proposed to optimize the flight trajectory and reflection matrix of ARIS jointly. The first layer utilizes the modified genetic algorithm (MGA) to optimize the flight trajectory of ARIS, and the second layer takes advantage of the manifold optimization method to derive the optimal reflection matrix of ARIS, where the second layer is embedded in the first layer. Simulation results validate that the proposed algorithm can suppress the moving malicious jamming and improve the quality of the legitimate communications effectively.

关键词： Manifolds Wireless communication Automation Simulation Optimization methods Reliability engineering Reflection

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Decoupling control of Geometrical Consistency for Formation UAVs Based on Node Importance Identification of Temporal Network

Decoupling Control of Geometrical Consistency for Formation ...

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Energy and Electrical engineering (EEE), International Conference on

作者： Yi Zhu Jiguang Li Kai Zhang Hui Tian Kan Zhou College of Field Engineering Army Engineering University of PLA Nanjing China School of Aircraft Xi'an Aeronautical Institute Xi'an China College of Command and Control Engineering Army Engineering University of PLA Nanjing China

ISBN: (数字)9798350341768

ISBN: (纸本)9798350341775

To address the issue of geometric consistency in the formation of unmanned aerial vehicles (UAVs) during flight, from the perspective of formation control, an identification method for the core nodes of the temporal network is introduced to analyze and evaluate the geometric position error of the UAV formation. A decoupling controller is designed to improve the geometric consistency of the UAV formation. During the design process, the UAVs' dynamics model is established and a Leader-Follower formation controller is designed based on LMI and virtual Leader. The node importance identification of the UAV formation is determined by constructing a time series network according to the similarity based super adjacency matrix (SSAM) of nodes, and the controller is improved in the light of the results of node importance recognition. In the simulation process, the tracking effect of the dual aircraft formation was first verified and analyzed. Then, taking the 6-aircraft formation as an example, the relationship between node importance and geometric consistency was analyzed, and the controller was improved. The simulation results showed that the improved controller, taking into account the factors affecting node importance, can improve the geometric consistency of the formation, providing meaningful reference value for the study of maintaining and consistency control of Formation organization and formation maintenance formations.

关键词： Simulation Time series analysis Process control Organizations Autonomous aerial vehicles Vectors Aircraft Vehicle dynamics Optimization Drones

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Generating Adversarial Examples in Audio Classification with Generative Adversarial Network 7

Generating Adversarial Examples in Audio Classification with...

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7th International Conference on Image, Vision and Computing, ICIVC 2022

作者： Zhang, Qiang Yang, Jibin Zhang, Xiongwei Cao, Tieyong Army Engineering University Graduate School Nanjing China Army Engineering University Command and Control Engineering College Nanjing China

ISBN: (数字)9781665467346

ISBN: (纸本)9781665467346

To improve the performance of acoustic adversarial examples, this paper proposes an adversarial generation model based on Generative Adversarial Network (GAN) for audio classification. By introducing the classification model into GAN, this paper proposes a general GAN framework to execute adversarial attacks for audio classification. Then we propose a Short-time Synthesis GAN-based (SSGAN) attack method, which can reduce the complexity of audio adversarial example generation, and further improve the generality and performance of the GAN-based audio adversarial example generation. Experiments on audio classification datasets such as UrbanSound8k and ESC50 show that compared with existing audio adversarial example generation methods, the proposed method generates adversarial examples with lower perceptibility, and has a higher attack success rate and attack efficiency for typical audio classification models. © 2022 IEEE.

关键词： Generative adversarial networks

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Fractal evaluation model based on fractal dimension and its applications in reinforcement learning

Fractal evaluation model based on fractal dimension and its ...

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第35届中国控制与决策会议

作者： Li Yuan Wang Jun Li Ge Zhang Ren Wen Sun Rui Jin Army Engineering University of PLA Command Control Engineering Institute

Game reinforcement learning has many inherent difficulties in the research process,such as the existence of pure strategy Nash equilibrium,the slow convergence speed of the algorithms,and the uncertainty in reinforcement learning *** characterization of the uncertainty will determine the scientificity and rationality of the *** test of the generality of the algorithms is mainly reflected in whether the algorithm can solve discrete problems and continuous *** main idea of the evaluation model based on fractal dimension is that the agent's strategy selection is aimed at maximizing the fractal dimension of the current *** fractal dimension at this time can be a set or a function and the above two cases correspond to discrete and continuous *** the discussion of Lyapuno stability theory,it can be concluded that the larger the fractal dimension,the more stable the state.

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An executable modeling and analyzing approach to C4ISR architecture

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Journal of Systems engineering and Electronics 2020年第1期31卷 109-117页

作者： HE Hongyue ZHU Weixing LI Ruiyang DENG Qiaoyu Institute of Command and Control Engineering Army Engineering University of PLA

To analyze the behavioral model of the command,control,communication,computer,intelligence,surveillance,reconnaissance(C4ISR)architecture,we propose an executable modeling and analyzing approach to ***,the meta concept model of the C4ISR architecture is *** to the meta concept model,we construct the executable meta models of the C4ISR architecture by extending the meta models of ***,we define the concrete syntax and executable activity algebra(EAA)semantics for executable *** semantics functions are introduced to translating the syntax description of executable models into the item of *** support the execution of models,we propose the executable rules which are the structural operational semantics of ***,an area air defense of the C4ISR system is used to illustrate the feasibility of the approach.

关键词： command control communication computer intelligence surveillance reconnaissance(C4ISR)architecture meta model executable model algebraic semantics

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