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Domain Adaptation-based Radio Frequency Fingerprint Identification for Industrial Cyber-Physical Systems

IEEE Network 2025年

作者： Wang, Yatong Cao, Bin Wen, Zhongyi Yan, Mu Song, Changqing Beijing Institute of Technology School of Information and Electronics Beijing100081 China Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing100876 China University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu611731 China Laboratory of Electromagnetic Space Cognition and Intelligent Control Technology Beijing100191 China University of Electronic Science and Technology of China National Key Laboratory of Wireless Communications Chengdu611731 China Laboratory of Electromagnetic Space Cognition and Intelligent Control Beijing100191 China

With the widespread adoption of cloud and fog platforms, security issues facing Industrial Cyber-Physical Systems (ICPSs) are increasingly prominent. Radio Frequency Fingerprinting (RFFI) emerges as a promising physical layer security technique for user authentication, effectively enhancing ICPS security over wireless networks by exploiting inherenthardware imperfections in transmitters. However, as technologies evolve and user environments become denser and more complex, existing RFFI techniques encounter significant domain shift challenges, leading to performance degradation. Therefore, developing domain-adaptive RFFI techniques is crucial for the effectiveness of ICPSs. In this article, we first provide a comprehensive review of the RFFI framework, emphasizing its applications in ICPSs and the key processes involved. Next, we focus on the domain shift issues faced by RFFI in ICPSs and present a comprehensive survey of domain adaptation methods. To tackle these challenges, we propose a novel feature-alignment based domain adaptation (FADA) framework for RFFI, which is designed to mitigate the performance degradation caused bycross-domain shifts by aligning the feature representations of the source and target domain. Finally, we discuss the inherent challenges and future directions for developing domain adaptation based RFFI to enhance the security of ICPSs. © 2025 IEEE. All rights reserved.

关键词： Radio frequency identification (RFID)

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A Practical Quantum Network Coding Protocol Based on Non-Maximally Entangled State

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Computers, Materials & Continua 2021年第8期68卷 2651-2663页

作者： Zhen-Zhen Li Zi-Chen Li Xiu-Bo Chen Zhiguo Qu Xiaojun Wang Haizhu Pan School of Information Engineering Beijing Institute of Graphic CommunicationBeijing102600China Information Security Center State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and TelecommunicationsBeijing100876China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science and TechnologyNanjing210044China School of Electronic Engineering Dublin City UniversityDublin9Ireland College of Computer and Control Engineering Qiqihar UniversityQiqihar161006China

In many earlier works,perfect quantum state transmission over the butterfly network can be achieved via quantum network coding protocols with the assist of maximally entangled ***,in actual quantum networks,a maximally entangled state as auxiliary resource is hard to be obtained or easily turned into a non-maximally entangled state subject to all kinds of environmental ***,we propose a more practical quantum network coding scheme with the assist of non-maximally entangled *** this paper,a practical quantum network coding protocol over grail network is proposed,in which the non-maximally entangled resource is assisted and even the desired quantum state can be perfectly *** achievable rate region,security and practicability of the proposed protocol are discussed and *** practical quantum network coding protocol proposed over the grail network can be regarded as a useful attempt to help move the theory of quantum network coding towards practicability.

关键词： Quantum network coding non-maximally entangled state quantum grail network practical protocol

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A shape memory alloy spring actuated gripper with self-sensing feedback for control

A shape memory alloy spring actuated gripper with self-sensi...

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International Conference on Sensing technology, ICST

作者： Then Mozhi Ganapathy Dhanalakshmi Kaliaperumal Banu Sundareswari M. Instrumentation and Control Engg. National Institute of Technology Tiruchirappalli Tamil Nadu India Electronics and Communication Engg. Saveetha School of Engineering Chennai Tamil Nadu India

This article suggests a self-sensing gripper that is driven by a single Shape memory alloy (SMA) spring to enable precise self-sensing. The gripper that is in normally open mode consists of two arms, one of which is fixed and an SMA spring actuator controls the other. This article demonstrates that the variation in the resistance of the shape memory alloy spring reveals phase transitions and can be used to detect the position of the gripper arm, enabling position control. The development of self-sensing technology broadens the concept of gripper sensing, which helps to advance compactness and miniaturization. This work suggests the design, manufacture, and characterization of a gripper that gives the benefit of sensorless position control.

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Robust H∞ controller Design With Regional Pole-Placement for Quarter Car Active Suspension System

Robust H∞ Controller Design With Regional Pole-Placement fo...

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control Conference (ANZCC), Australian and New Zealand

作者： Sonali Singh Ganta Jane Gladys P P Gouri Jitendra Kumar Goyal Ankit Sachan Surender Hans Shubhi Purwar Neeraj Gupta Department of Electical Engineering M.N. National Institute of Technology Allahabad Prayagraj India Department of Control and Automation School of Electrical Engineering Vellore Institute of Technology Vellore Tamil Nadu India Department of Electronics and Communication Engineering Poornima College of Engineering Jaipur India Graduate School of Advanced Science & Engineering Hiroshima University Japan Department of Electical Engineering Ajay Kumar Garg Engineering College Ghaziabad India

In the modern world, automobile suspension holds crucial importance in uplifting a cars ride comfort and handling ability. Active suspension can doubtless enhance the driving quality and traveler comfort at the same time. Its a fourth-order advanced system that requires a highly accurate and precise robust control technique. This work presents a highly robust $H_{\infty}$ controller proposed for a quarter car active suspension system and a comparison of it with the prevailing LQR controller design. Also, the design criteria to enhance the transient performance of the system consist of the concept of regional pole placement. controller behavior is examined through simulation setup using MATLAB/Simulink. Simulation results are shown to explain the efficacy of the developed design.

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Direction Modulation Design for UAV Assisted by IRS with discrete phase shift

arXiv

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arXiv 2024年

作者： Li, Maolin Gao, Wei Wu, Qi Shu, Feng Pan, Cunhua Wu, Di The School of Information and Communication Engineering Hainan University Haikou570228 China The School of Information and Communication Engineering Collaborative Innovation Center of Information Technology Hainan University Haikou570228 China The School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing210094 China The National Mobile Communications Research Laboratory Southeast University China The School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai200240 China The State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China

As a physical layer security technology, directional modulation (DM) can be combined with intelligent reflect-ing surface (IRS) to improve the security of drone communications. In this paper, a directional modulation scheme assisted by the IRS is proposed to maximize the transmission rate of unmanned aerial vehicle (UAV) secure communication. Specifically, with the assistance of the IRS, the UAV transmits legitimate information and main-tains its constellation pattern at the location of legitimate users on the ground, while the constellation pattern is disrupted at the eavesdropper's location. In order to solve the joint optimization problem of digital weight coefficients, UAV position, and IRS discrete phase shift, firstly, the digital weight vector and UAV position are optimized through power minimization. Secondly, three methods are proposed to optimize IRS phase shift, namely vector trajectory (VT) method, cross entropy vector trajectory (CE-VT) algorithm, and block coordinate descent vector trajectory (BCD-VT) algorithm. Compared to traditional cross entropy (CE) methods and block coordinate descent (BCD) methods, the proposed CE-VT and BCD-VT algorithms can improve transmission rate performance. The numerical results validate the effectiveness of the optimization scheme in IRS assisted UAV communication. Copyright © 2024, The Authors. All rights reserved.

关键词： Vectors

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Generative Model for Joint Resource Management in Multi-Cell Multi-Carrier NOMA Networks

Generative Model for Joint Resource Management in Multi-Cell...

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International Conference on Computer and communications (ICCC)

作者： Elhadj Moustapha Diallo Yancheng Liao Amayika Kakati Deepak Kumar Jain School of Communications and Information Engineering Chongqing University of Posts and Telecommunications Chongqing P. R. China School of Communication Engineering Brunel University London England School of Artificial Intelligence and the Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian China

ISBN: (数字)9798331507077

ISBN: (纸本)9798331507084

In this work, we design a generative artificial intelligence(GAI) -based framework for joint resource allocation, beamforming, and power allocation in multi-cell multi-carrier non-orthogonal multiple access (NOMA) networks. We formulate the proposed problem as sum rate maximization problem. Next, we design a novel multi-task transformer (MTT) framework to handle the problem in real-time. To provide the necessary training set, we consider simplified but powerful mathematical techniques from the literature. Then, we train and test the proposed MTT. We perform simulation to evaluate the efficiency of the proposed MTT and compare its performance with the mathematical baseline.

关键词： Training NOMA Array signal processing Processor scheduling Generative AI Transformers Multitasking Real-time systems Mathematical models Resource management

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An ${H_\infty }$ Load Frequency control Scheme for Multi-Area Power System Under Cyber-Attacks and Time-Varying Delays

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IEEE Transactions on Power Systems 2022年第2期38卷 1336-1349页

作者： Guangdou Zhang Jian Li Olusola Bamisile Yankai Xing Dongsheng Cai Qi Huang Power System Wide-Area Measurement and Control Sichuan Province Key Laboratory School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu Sichuan China College of Nuclear Technology and Automation Engineering Chengdu University of Technology Sichuan China

In the power system, the application of the signals transmitted from the sensors to the controller can significantly improve the dynamic performance. However, cyber-attacks and time delays exist widely in the communication network, which has a considerable effect on stability, operation, and control. In this paper, an ${{\boldsymbol{H}}_\infty }$ load frequency control (LFC) scheme for multi-area power systems under cyber-attacks and time-varying delays is investigated. First, false data injection attacks (FDIA), as well as denial of service (DoS) attacks, are viewed as two typical cyber-attacks and introduced into the multi-area power system. Then, the state-space equations of the LFC power system under these two attacks and time-varying delays are analyzed and modeled. Furthermore, by using Lyapunov stability theory and linear matrix inequality (LMI) method, an ${{\boldsymbol{H}}_\infty }$ LFC scheme for attacked and delayed power systems is developed. The purpose of the proposed controller is to guarantee the closed-loop system exponentially mean-square stable with prescribed ${{\boldsymbol{H}}_\infty }$ performance. Finally, a three-area LFC system is employed to demonstrate the effectiveness of the proposed mechanism. The simulation results verified that the control performance of an attacked and delayed system can be improved significantly via the designed controller.

关键词： Power system stability Delays Frequency control Delay effects Stability analysis Mathematical models Time-varying systems

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Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System

arXiv

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arXiv 2023年

作者： Zhang, Ruining Han, Haoran Lv, Maolong Yang, Qisong Cheng, Jian School of Information and Communication Engineering University of Electronic Science and Technology of China China Glasgow School University of Electronic Science and Technology of China China Air Traffic Control and Navigation College Air Force Engineering University China Xi’an Institute of High-Tech China

Extensive utilization of deep reinforcement learning (DRL) policy networks in diverse continuous control tasks has raised questions regarding performance degradation in expansive state spaces where the input state norm is larger than that in the training environment. This paper aims to uncover the underlying factors contributing to such performance deterioration when dealing with expanded state spaces, using a novel analysis technique known as state division. In contrast to prior approaches that employ state division merely as a post-hoc explanatory tool, our methodology delves into the intrinsic characteristics of DRL policy networks. Specifically, we demonstrate that the expansion of state space induces the activation function tanh to exhibit saturability, resulting in the transformation of the state division boundary from nonlinear to linear. Our analysis centers on the paradigm of the double-integrator system, revealing that this gradual shift towards linearity imparts a control behavior reminiscent of bang-bang control. However, the inherent linearity of the division boundary prevents the attainment of an ideal bang-bang control, thereby introducing unavoidable overshooting. Our experimental investigations, employing diverse RL algorithms, establish that this performance phenomenon stems from inherent attributes of the DRL policy network, remaining consistent across various optimization algorithms. © 2023, CC BY-NC-ND.

关键词： Reinforcement learning

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Design and Stability Analysis of Non-smooth Integral Sliding Surface for Coupled-Tank System with Matching/Non-matching Disturbance

Design and Stability Analysis of Non-smooth Integral Sliding...

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control Conference (ANZCC), Australian and New Zealand

作者： Sonali Singh Ankit Sachan Jitendra Kumar Goyal Shubhi Purwar Neeraj Gupta Ganta Jane Gladys P P Gouri Surender Hans Department of Electical Engineering M.N. National Institute of Technology Allahabad Prayagraj India Graduate School of Advanced Science & Engineering Hiroshima University Japan Department of Control and Automation School of Electrical Engineering Vellore Institute of Technology Vellore Tamil Nadu India Department of Electical Engineering Ajay Kumar Garg Engineering College Ghaziabad India Department of Electronics and Communication Engineering Poornima College of Engineering Jaipur India

This paper examine the challenges posed by conventional sliding mode design in the presence of matching/nonmatching disturbances. Previously designed approaches have proven inadequate in offering an efficient and straightforward solution to non-matching disturbances. To overcome this, a novel sliding mode control strategy centered on a non-smooth integral sliding manifold is introduced. The newly proposed sliding manifold possesses two crucial characteristics. Firstly, it functions transform to a reduced-order disturbance observer by autonomously estimating the mismatched disturbances, eliminating the need for an additional observer design. Secondly, the system consistently initiates its operation from the sliding surface, eliminating any reaching phase dynamics. As a result, the system trajectory remains resilient to disturbances right from the outset. To validate the effectiveness of the proposed method, it is simulated for a coupled tank system.

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The In-Situ Excitation on Internal Electrode of Dbd-Oes System for Cadmium Sensitive Detection

SSRN

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SSRN 2023年

作者： Cai, Yi Li, Wei Yao, Cheng Zhao, Yong School of Control Engineering Hebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology Northeastern University at Qinhuangdao Qinhuangdao066004 China College of Information Science and Engineering Northeastern University Shenyang110819 China

The miniature systems using microplasma excitation sources provide reliable tools for the portable detection of heavy metal contamination. Dielectric barrier discharge (DBD)-based optical emission spectrometry has emerged as a significant technique for the detection of metal ions recently. Here, a sensitive miniature DBD-OES system for cadmium enrichment and detection is developed. A piece of ceramic tube with abundant hydroxyl (-OH) and alumina (Al-O) functional groups is used for cadmium pre-concentration and serve as a part of the internal electrode of the DBD. When microplasma generates, the cadmium on the surface of the internal electrodes is desorbed and in-situ excited, and the characteristic emission line of cadmium appears. The mechanism of cadmium excitation on ceramic tube, the characteristics of the microplasma excitation and the enrichment on the internal electrode are discussed. Under the working conditions, the emission intensity of cadmium shows linear relationship within the range of 0.5-8 μg L-1, and the limit of detection (LOD) is 0.3 μg L-1. Finally, a series of water samples are determined to validate the practicality of the present system. © 2023, The Authors. All rights reserved.

关键词： Dielectric barrier discharge

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