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Resilient Decentralized Frequency Regulation for Multi-Area Power Systems With Electric Vehicles Under Hybrid Cyber-Attacks

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IEEE Transactions on Circuits and Systems I: Regular Papers 2025年

作者： Long, Yue Liu, Qidong Ding, Derui Li, Tieshan University of Electronic Science and Technology of China School of Automation Engineering Sichuan Chengdu 611731 China Swinburne University of Technology School of Science Computing and Engineering Technologies Melbourne 3122 VIC Australia University of Shanghai for Science and Technology Department of Control Science and Engineering Shanghai 200093 China University of Electronic Science and Technology of China Yangtze Delta Region Institute (Huzhou) Huzhou 313001 China

This paper proposes a resilient output-feedback frequency regulation mechanism for multi-area power systems, ensuring secure and stable operation. Firstly, the uncertainties introduced by state-of-charge (SOC) variations are considered for the addressed system involved electric vehicle (EV). Subsequently, the behavior of hybrid replay-DoS attacks is taken into account, where a non-homogeneous Markov jump framework is employed to capture both stochastic transitions and temporal dependencies of attack behaviors, and a decentrilized resilient controller is designed to mitigate these adverse effects. To facilitate controller synthesis, a refined model of the lossless power network is further developed by equivalently transforming tie-line power deviations in specific areas, ensuring compliance with tie-line power constraints while preserving system controllability. Based on this model, a comprehensive analysis of system dynamics is performed, and a set of delay-dependent, computationally tractable criteria is derived for controller gain selection. Finally, extensive simulations on three-area power systems validate the effectiveness of the proposed strategy in maintaining frequency stability, mitigating SOC uncertainties, and counteracting hybrid replay-DoS attacks. © 2004-2012 IEEE.

关键词： electric vehicles hybrid cyber-attacks Multi-area power systems resilient frequency regulation

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A novel requirement analysis approach for periodic control systems

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Frontiers of Computer Science 2013年第2期7卷 214-235页

作者： Zheng WANG Geguang PU Jiangwen LI Yuxiang CHEN Yongxin ZHAO Mingsong CHEN Bin GU Mengfei YANG Jifeng HE Shanghai Key Laboratory of Trustworthy Computing Software Engineering Institute East China Normal UniversityChina Shanghai 200241 Beijing Institute of Control Engineering China Beijing 100080 School of Computing National University of SingaporeSingapore Singapore 119077 China Academy of Space Technology China Beijing 100094

Periodic control systems （PCSs） are widely used in real-time embedded system domain. However, traditional manual requirement analysis assumes the expert knowledge, which is laborious and error-prone. This paper proposes a novel requirement analysis approach, which supports the automated validation of the informal requirement specifi- cations. Based on the normalized initial requirement docu- ments, our approach can construct an intermediate SPARDL model with both formal syntax and semantics. To check the overall system behaviors, our approach can transform the SPARDL models into executable code for simulation. The derived prototype simulator from SPARDL models enables the testing-based system behavior validation. Moreover, our approach enables the analysis of the dataflow relations in SPARDL models. By revealing input/output and affecting re- lations, our dataflow analysis techniques can help software engineers to figure out the potential data dependencies be- tween SPARDL modules. This is very useful for the module reuse when a new version of the system is developed. A study of our approach using an industry design demonstrates the practicality and effectiveness of our approach.

关键词： SPARDL simulation dataflow analysis codegeneration

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Decentralized Adaptive Filtering for Multi-agent Systems with Uncertain Couplings

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IEEE/CAA Journal of Automatica Sinica 2014年第1期1卷 101-112页

作者： Hongbin Ma Yini Lv Chenguang Yang Mengyin Fu the School of Automation Beijing Institute of Technology the Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology the School of Computing and Mathematics Plymouth University

In this paper, the problem of decentralized adaptive filtering for multi-agent systems with uncertain couplings is formulated and investigated. This problem is challenging due to the mutual dependency of state estimation and coupling estimation. First, the problem is divided into four typical types based on the origin of coupling relations and linearity of the agent dynamics. Then models of the four types are given and the corresponding decentralized adaptive filtering algorithms are designed for the purpose of estimation of the unknown states and couplings which denotes the relations between agents and their neighbor agents in terms of states or outputs simultaneously,with preliminary stability analysis and discussions. For testing the effects of algorithm, with the so-called certainty-equivalence principle, control signals are designed based on the results of state estimation and coupling estimation got by the proposed decentralized adaptive filtering algorithms. Extensive simulations are conducted to verify the effectiveness of considered algorithms..

关键词： Couplings Covariance matrices Multi-agent systems Adaptation models Kalman filters Mathematical model

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Integrated Behavioral and Biological Surveillance Among People Living With HIV Visiting the Antiretroviral Therapy Centers in India: Protocol for a Cross-Sectional Surveillance

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JMIR Research Protocols 2025年 14卷 e58252页

作者： Pradeep Kumar Santhakumar Aridoss Malathi Mathiyazhakan Subasri Dhanusu Chinmoyee Das Shobini Rajan Arvind Kumar Subrata Biswas Elangovan Arumugam Surveillance Strategic Information Management National Organisation of AIDS Control Delhi India HIV Surveillance ICMR - National Institute of Epidemiology Chennai India Department of Computing and Information Science ICMR - National Institute of Epidemiology Chennai India

Background The estimated number of people living with HIV (PLHIV) in India in 2023 is 2.54 million (range 2.16-3.03 million). With the initiation of antiretroviral therapy (ART) and the “Test and Treat” policy, the life expectancy of PLHIV on ART has substantially increased, consequently leading to a higher rate of comorbidities among PLHIV. The Joint United Nations Programme on HIV/AIDS (UNAIDS) 2025 targets aim for about 90% of PLHIV to have access to integrated and comprehensive health care services, with a concerted effort to reach the End of AIDS by 2030. Hence, the National Integrated Bio-Behavioral Surveillance (IBBS) among PLHIV (IBBS-PLHIV) has been implemented for the first time in India to establish a baseline understanding of the prevalence of sexually transmitted infections (STIs), noncommunicable diseases (NCDs), and related risk behaviors among PLHIV. Objective The primary aim of IBBS-PLHIV is to estimate the levels of HIV-related risk behaviors and the prevalence of other STIs and NCDs among PLHIV. The specific objectives are identifying the levels of HIV-related sexual and injecting risk behaviors; estimating the prevalence of STIs such as syphilis, hepatitis B virus, and hepatitis C virus; estimating the prevalence of NCDs such as diabetes and hypertension; understanding the lifestyle and behavioral risks associated with NCDs; and assessing the levels of violence, stigma, and discrimination experienced by PLHIV. Methods IBBS-PLHIV will be a cross-sectional, biennial surveillance among PLHIV aged 15 years or older. The first round will be implemented at 120 ART centers across 28 states, accounting for approximately 95% of the total estimated PLHIV. Consenting, eligible PLHIV will be recruited through consecutive sampling. The overall sample size at each ART center is approximately 225, and the surveillance period is 3 months. Behavioral data on demographics, reproductive and sexual health, lifestyle and sexual behaviors, stigma, and discrimination w

关键词： people living with HIV/AIDS antiretroviral therapy Integrated Bio-Behavioral Surveillance India protocol biological surveillance reproductive health sexual health communicable diseases mental health integrated care stigma discrimination

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Synergistic enhancement of memristive behavior and self-rectifying effect in MnO2 based memristor by ions doping method

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Applied Materials Today 2025年 44卷

作者： Yang, Bo Cao, Zelin Sun, Bai Gao, Kaikai Wang, Mengna Zhou, Guangdong Lv, Jian Luo, Sihai Chen, Xiaoliang Li, Xiangming Shao, Jinyou Frontier Institute of Science and Technology and Interdisciplinary Research Center of Frontier Science and Technology Xi'an Jiaotong University Shaanxi Xi'an710049 China Micro-and Nano-technology Research Center State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Shaanxi Xi'an710049 China College of Artificial Intelligence Brain-inspired Computing & Intelligent Control of Chongqing Key Lab Southwest University Chongqing400715 China

As one of the most promising candidates to replace the traditional von Neumann architecture, memristor shows considerable potential in neuromorphic computing, neural networks, brain-like chips, artificial intelligence, and information storage. However, its performance in terms of ultra-high stability, scalability, and extended switching windows has yet to be broken through, limiting its practical applications. In this work, it is investigated in detail the effect of Cu2+/Zn2+ ions doping on the memristive performance in the Ag/δ-MnO2/Ti devices with three different doping concentrations. We found that the optimal doping concentration can significantly improve the stability and resistance switching ratio of the device. Through first principles analysis, it is further confirmed that the main mechanism for the improvement in device switching ratio is the reduction of MnO bandgap caused by Cu2+/Zn2+ ions doping. Finally, we proposed that the formation of CuO/ZnO buffer layer through the interaction between Cu2+/Zn2+ ions and O2- ions is the key factor leading to the transition of threshold voltage from self-rectification to memristive behavior. Therefore, this work provides an in-deep understanding of the theory of metal ions doping in memristive device, which adds a new strategy to improve the memristive performance of the device in neuromorphic applications. © 2025 Elsevier Ltd

关键词： Electric rectifiers

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Automatic bioindicator images evaluation

Automatic bioindicator images evaluation

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14th International Conference on Intelligent Engineering Systems, INES 2010

作者： Slavíková, P. Mudrová, M. Procházka, A. Department of Computing and Control Engineering Institute of Chemical Technology Prague Czech Republic

ISBN: (纸本)9781424476527

Presented paper deals with processing of electron-microscope images of Picea Abies stomas. A stoma character strongly depends on the level of air pollution in the area where the tree grows - as the stoma epidermis covers with epiticular waxes to protect itself against the negative environmental influences. According to the level of incrustation it is possible to distinguish five classes of stoma structure. An automatic algorithm recognizing a degree of stoma damage, based on the microscopic image processing can be useful during the process of environmental assessment. This work is devoted to a solution of the problem of stoma evaluation by means of texture classification. There are two principles discussed in the paper: The first principle is based on gradient methods while the second one uses a wavelet transform. Possibilities of application of mentioned attitudes were investigated and the classification criteria distinguishing the stoma character were suggested, as well. The resulting algorithm was verified on a library of four hundred real images and achieved results were compared with an expert's sensual classification. Selected methods of image preprocessing as noise reduction, brightness correction and resampling were used as well. © 2010 IEEE.

关键词： Gradient methods

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Policy Trade-Offs in the NIESR Model: Exercises Using Optimal control

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National institute Economic Review 1983年第1期105卷 36-45页

作者： Brooks, Simon Henry, Brian Karakitsos, Elias National Institute of Economic and Social Research Department of Computing and Control Imperial College London United Kingdom

This article investigates the consequences of alternative fiscal packages by applying optimal control techniques to the National institute econometric model. Britton (1983) provides an assessment of alternative packages by using ready reckoners derived from simulations of the NIESR model reported in Brooks and Henry (1983). The present investigation may be seen as a more systematic analysis, using the techniques of optimal control. Such an assessment inevitably concerns the measurement of trade-offs between the major objectives of government policy, an issue which has generated much controversy over the last decade. Early interpretations of the Phillips Curve for example tended to regard the empirical finding of an inverse relation between inflation and unemployment as providing a menu for policy choice. According to this interpretation, aggregate demand policy could be used to select the best combination of inflation and unemployment rates available subject to the constraint set by the Phillips Curve. Since that time, parallel developments in the theory of wage inflation, expectations formation, and macroeconomic policy have produced considerable scepticism about the existence of this trade-off, questioning whether the implied choice between alternative combinations of inflation and unemployment is open to governments using aggregate demand policy. Much of this scepticism was coincident with growing dissatisfaction with the Phillips Curve as a statistical representation of wage inflation, but we will not be directly concerned with this aspect of the argument here. Two points however do arise from this debate which are of direct relevance to the subject matter of this article. The first is that a trade-off between inflation and unemployment may exist even if the labour market is not characterised by a Phillips Curve. The second is the central role played by natural rate concepts in the debate on the effectiveness of aggregate demand policy.

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Boundary-aware dynamic re-weighting for semi-supervised medial image segmentation

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Expert Systems with Applications 2025年 287卷

作者： Jiang, Weili Li, Jiawen Li, Yihao Wei, Xifei Huang, Jianping Quellec, Gwenolé Si, Weixin Ou, Chubin School of Computing and Artificial Intelligence Southwest Jiaotong University Sichuan Chengdu China Norla Institute of Technical Physics Chengdu China United Imaging Healthcare Shanghai China Weizhi Meditech Co. Ltd. Guangdong Foshan China LaTIM UMR 1101 Inserm Brest France Faculty of Computer Science and Control Engineering Shenzhen University of Advanced Technology China Guangdong General Hospital Guangdong Guangzhou China

Different from traditional semi-supervised learning (SSL), semi-supervised medical image segmentation faces two significant challenges: (1) the imbalanced distribution of labeled data causes models to bias towards majority classes;(2) the distribution discrepancy between labeled and unlabeled samples induces confirmation bias in pseudo-labels. Inspired by clinical practice, where experienced doctors utilize intrinsic features from the interior of target organs to clarify ambiguous boundaries and focus on minority classes, we propose a novel boundary-aware dynamic re-weighting network (BDRN). First, we utilize edge filters to generate visually different but semantically aligned views, compelling two sub-networks to learn informative features from organ interiors and boundaries, respectively. Second, we extract the boundary and interior regions using morphological operators and introduce a shape constraint to enhance feature learning. Additionally, a conflict-adversarial module promotes segmentation consistency between different views. Finally, we propose a dynamic re-weighting strategy based on the effective number to improve attention to imbalanced classes. Experiments demonstrate that our method significantly improves segmentation performance, achieving state-of-the-art results on CT and MR images. Ablation studies further confirm the efficacy of boundary consistency constraints and dynamic re-weighting. The segmentation Dice score for minority organs (e.g., esophagus) on the Synapse dataset is improved by 17.1 %, 46.2 %, and 49.4 % using 10 %, 20 %, and 40 % labeled data, respectively. © 2025 Elsevier Ltd

关键词： Conflict-adversarial module Edge-conflict consistency Effective-number-based re-weighting Soft-boundarization

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Vehicle tracking by detection in UAV aerial video

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Science China(Information Sciences) 2019年第2期62卷 192-194页

作者： Shaohua LIU Suqin WANG Wenhao SHI Haibo LIU Zhaoxin LI Tianlu MAO School of Electronic Engineering University of Beijing Posts and Telecommunications Institute of Electronic and Information Engineering in Guangdong University of Electronic Science and Technology of China School of Control and Computer Engineering North China Electric Power University Beijing Key Lab of Mobile Computing and Pervasive Device Institute of Computing TechnologyChinese Academy of Sciences

With the maturity and popularity of UAV (unmanned aerial vehicle) technology [1–3], UAV video is becoming an effective supplement to the fixed monitoring video [4, 5]. In the aspect of traffic information acquisition, the advantages of UAV are obvious. UAV can fly not only between the buildings, but also on the freeway, and even into the tunnel, showing the unique flexibility and maneuverability. UAV can control its hovering position artificially and has a high angle shot to get more comprehensive and clearer video *** some emergent situation, such as evacuation caused by typhoons and earthquakes, there are lots of countryside areas without fixed road monitoring cameras. UAV is undoubtedly the best choice to

关键词： UAV Vehicle tracking by detection in UAV aerial video

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Quantum computing of chirality imbalance in SU(2) gauge theory

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Physical Review D 2025年第5期111卷 056031-056031页

作者： Guofeng Zhang Xingyu Guo Enke Wang Hongxi Xing Key Laboratory of Atomic and Subatomic Structure and Quantum Control (MOE) Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter Institute of Quantum Matter South China Normal University Guangzhou 510006 China Guangdong-Hong Kong Joint Laboratory of Quantum Matter Guangdong Provincial Key Laboratory of Nuclear Science Southern Nuclear Science Computing Center South China Normal University Guangzhou 510006 China Southern Center for Nuclear-Science Theory (SCNT) Institute of Modern Physics Chinese Academy of Sciences Huizhou 516000 China

We implement a variational quantum algorithm to investigate the chiral condensate in a 1+1 dimensional SU(2) non-Abelian gauge theory. The algorithm is evaluated using a proposed Monte Carlo sampling method, which allows the extension to large qubit systems. The obtained results through quantum simulations on classical and actual quantum hardware are in good agreement with exact diagonalization of the lattice Hamiltonian, revealing the phenomena of chiral symmetry breaking and restoration as functions of both temperature and chemical potential. Our findings underscore the potential of near-term quantum computing for exploring QCD systems at finite temperature and density in non-Abelian gauge theories.

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