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Fully Distributed Secure Consensus control for Cyber-Physical Systems Against Actuator Fault and Denial-of-Service Attack

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IEEE Transactions on Automation science and Engineering 2025年 22卷 16440-16450页

作者： Yue Long Ximing Yang Tieshan Li Hongjing Liang School of Automation Engineering University of Electronic Science and Technology of China Chengdu China Laboratory of Electromagnetic Space Cognition and Intelligent Control Beijing China Yangtze Delta Region Institute University of Electronic Science and Technology of China Huzhou China

The cooperative control problem for cyber-physical systems under actuator faults and denial-of-service attacks is investigated, where each subsystem can be modeled by an agent and denial-of-service attacks are viewed as attacks against the inter-agent communication. Specifically, a scenario is considered in which the communication topology loses connectivity following a denial-of-service attack. To address the above problem, a fully distributed secure control strategy is proposed. This strategy combines a distributed observer with an observer-based fault-tolerant consensus control method. Therein, the assumptions that the leader’s communication links are unbreakable and the switched topology contains a spanning tree are further relaxed based on the idea of a jointly connected topology. In addition, this paper also has the following features: Firstly, the proposed scheme eliminates the need for all agents to have prior knowledge of the leader’s dynamics, making the scenario considered in this work more general and applicable. Secondly, the control method presented in this paper does not rely on any global topology information, allowing it to be implemented in a completely distributed manner. Building on the proposed scheme, even under denial-of-service attacks and actuator faults, the consensus problem for cyber-physical systems can be realized. Finally, simulations are provided to demonstrate the effectiveness of the proposed method. Note to Practitioners—CPSs are regarded as the core technology for the next generation of manufacturing, with widespread applications in fields such as autonomous driving systems, smart grids, and intelligent manufacturing. The advantage of CPSs lies in their ability to tightly integrate physical processes with computational and communication technologies, enabling efficient and intelligent system operations. However, in engineering practice, while the application of network technologies has brought great convenience and significantly i

关键词： Denial-of-service attack Topology Consensus control Actuators Symmetric matrices Fault tolerant systems Fault tolerance System performance Observers Cyber-physical systems

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94LVI Algorithms of OIpU(One-Iteration-per-Update) Type Handling Time-Dependent QP(Quadratic Programming) with Two Constraints 41

94LVI Algorithms of OIpU(One-Iteration-per-Update) Type Hand...

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第41届中国控制会议

作者： Yunong Zhang Zhiwen Yuan School of Computer Science and Engineering Sun Yat-sen University Guangdong Key Laboratory of Modern Control Technology Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Research Institute of Sun Yat-sen University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper presents three relatively effective numerical algorithms,i.e.,94 LVI algorithms of OIpU(one-iteration-perupdate) type,to handle time-dependent QP(quadratic programming) problems subject to two constraints respectively(i.e.,equality and inequality constraints,equality and bound constraints,or inequality and bound constraints).Specifically,two "bridges" play essential parts of the methods(i.e.,the first "bridge" makes a QP problem convert to an LVI [linear variational inequality],and the second "bridge" makes the LVI convert to a PLPE [piecewise-linear projection equation]).On the basis of the standard94 LVI algorithm,the methods only update once through the solution of the previous sampling time ***,we conduct a number of experiments to substantiate the three algorithms respectively,which use exponential functions,log functions,and trigonometric functions in corresponding coefficients of the experimental examples.

关键词： Quadratic programming Time-dependent Numerical algorithms Linear variational inequalities(LVI)

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Attitude control of Reentry Vehicle Based on Adaptive Dynamic Programming with Incremental Model

Attitude Control of Reentry Vehicle Based on Adaptive Dynami...

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International Conference on Guidance, Navigation and control, ICGNC 2020

作者： Li, Xu Zheng, Zongzhun Liu, Lei Cheng, Zhongtao Wang, Yongji National Key Laboratory of Science and Technology on Multispectral Information Processing School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Beijing Aerospace Automatic Control Institute Beijing100854 China

ISBN: (纸本)9789811581540

Based on the incremental model, this paper investigates an adaptive dynamic programming (ADP) control scheme for reentry vehicles. First, the attitude dynamics of the reentry vehicle and its incremental form are established, then the ADP-based optimal controller is devised with reference to the dual heuristic dynamic programming (DHP) framework. Expediently, some local incremental parameters that the controller requires can be estimated through recursive least squares (RLS) technology online, replacing the model network that needs to be globally trained in advance in DHP. In addition, a target critic network is introduced to reduce the impact of state changes on the network parameters during the internal iterations of a time step, so it improves the learning stability. Finally, this control strategy is implemented to an attitude control system of the reentry vehicle, and online simulations verify its effectiveness. © 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Attitude control

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Remaining Useful Life Prediction of Multi-Component System Clustering with Time-Varying Kernel Density

Remaining Useful Life Prediction of Multi-Component System C...

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Chinese Automation Congress (CAC)

作者： Ke Li Xingle Fan Hui Shi Xiaohong Zhang Chaoli Sun Jianan Wang Dept. of Electronic and Information engineering Shanxi Key Laboratory of Advanced Control and Equipment Intelligence Taiyuan University of Science and Technology Taiyuan China Dept. of Economics and Management Shanxi Key Laboratory of Advanced Control and Equipment Intelligence Taiyuan University of Science and Technology Taiyuan China Dept. of Computer Science and Technology Shanxi Key Laboratory of Advanced Control and Equipment Intelligence Taiyuan University of Science and Technology Taiyuan China

Aiming at the uncertainty of the degradation procedure of a complex multi-component system in a time-varying environment and the influence of the random dependence between different components, a remaining useful life prediction model for time-varying adaptive kernel density estimation based on the dependence between multiple components is established. First, the random dependence between multi-component systems is clustered. Considering that different components in the same cluster are affected by the random dependence, the components between different clusters do not affect each other. Judge the dependence characteristics between components, and use the dependence characteristics of different components to conduct clustering degradation modelling. Secondly, the parameters of the system change with time. Considering that monitoring data near the current time has a greater impact on the remaining useful life prediction compared with historical data, data in the vicinity of the current time is accorded a more significant weight, and a time-varying kernel density estimation prediction method is designed, in which the nearest-neighbour adaptive window-width selection method is used. Finally, give an example to demonstrate the effectiveness by the proposed method.

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FastDrag: Manipulate Anything in One Step

arXiv

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arXiv 2024年

作者： Zhao, Xuanjia Guan, Jian Fan, Congyi Xu, Dongli Lin, Youtian Pan, Haiwei Feng, Pengming College of Computer Science and Technology Harbin Engineering University China School of Intelligence Science and Technology Nanjing University China State Key Laboratory of Space-Ground Integrated Information Technology China

Drag-based image editing using generative models provides precise control over image contents, enabling users to manipulate anything in an image with a few clicks. However, prevailing methods typically adopt n-step iterations for latent semantic optimization to achieve drag-based image editing, which is time-consuming and limits practical applications. In this paper, we introduce a novel one-step drag-based image editing method, i.e., FastDrag, to accelerate the editing process. Central to our approach is a latent warpage function (LWF), which simulates the behavior of a stretched material to adjust the location of individual pixels within the latent space. This innovation achieves one-step latent semantic optimization and hence significantly promotes editing speeds. Meanwhile, null regions emerging after applying LWF are addressed by our proposed bilateral nearest neighbor interpolation (BNNI) strategy. This strategy interpolates these regions using similar features from neighboring areas, thus enhancing semantic integrity. Additionally, a consistency-preserving strategy is introduced to maintain the consistency between the edited and original images by adopting semantic information from the original image, saved as key and value pairs in self-attention module during diffusion inversion, to guide the diffusion sampling. Our FastDrag is validated on the DragBench dataset, demonstrating substantial improvements in processing time over existing methods, while achieving enhanced editing performance. Project page: https://***/. Copyright © 2024, The Authors. All rights reserved.

关键词： Latent semantic analysis

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New Insights on the Stability of Sampled-Data-Based LFC for Power Systems: A Delay-Interval-Dependent LKF Approach

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IEEE Transactions on Smart Grid 2025年第4期16卷 3058-3069页

作者： Wang, Wei-Min Wang, Yan-Wu Wan, Qian Zeng, Hong-Bing Huazhong University of Science and Technology Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Wuhan430074 China Hunan University of Technology School of Electrical and Information Engineering Zhuzhou412007 China

This paper analyzes the stability problem of load frequency control (LFC) for power systems under uncertain transmission delays. First, an argumented LFC system model accounting for uncertainties in transmission delays is proposed. Then, a novel delay-interval-dependent Lyapunov-Krasovskii functional (LKF) that takes into account both the upper and lower bounds of the transmission delay is proposed. Several less conservative stability criteria are derived using the proposed LKF. Based on the stability criterion obtained, the sampling interval and the upper and lower bounds of the transmission delay are taken as the conditions to guide the controller design. Finally, case studies are conducted based on a one-area power system and a three-area power system, both integrated with wind and solar power generation. The simulation comparison results demonstrate that the proposed LFC scheme exhibits strong robustness against uncertain transmission delays, load fluctuations, and the intermittent generation of wind and solar power. © 2010-2012 IEEE.

关键词： Stability criteria

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Ascent Guidance for Air-Breathing Hypersonic Vehicles Based on MPSP

Ascent Guidance for Air-Breathing Hypersonic Vehicles Based ...

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International Conference on Guidance, Navigation and control, ICGNC 2020

作者： He, Qianwei Wu, Hao Tang, Maoqin Liu, Lei Wang, Yongji Cheng, Zhongtao National Key Laboratory of Science and Technology on Multispectral Information Processing School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Beijing Aerospace Automatic Control Institute Beijing100854 China

ISBN: (纸本)9789811581540

For the strong nonlinearity and uncertainty in the ascent guidance problem of air-breathing hypersonic vehicle, an adaptive ascent guidance scheme based on model predictive static programming (MPSP) algorithm is investigated in this paper. The purpose of guidance scheme is to drive the vehicle to the desired terminal states under the disturbance and uncertain environment. Since MPSP algorithm is effective in solving terminal constrained optimal control problem, the guidance command is obtained to shape the ascent trajectory of the vehicle by this technique. Besides, considering that MPSP is a model-dependent algorithm that will be affected by the complex and changeable atmospheric environment, an extended Kalman filter (EKF) is adopted to identify the deviation of thrust coefficient, lift coefficient and drag coefficient online in a real flight condition, which can provide the adaptability of guidance scheme. Finally, the performance of the proposed guidance scheme in simulation proves that its effectiveness in flight missions. © 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Hypersonic vehicles

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Sustainable Self-evolution Adversarial Training 24

Sustainable Self-evolution Adversarial Training

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32nd ACM International Conference on Multimedia, MM 2024

作者： Wang, Wenxuan Wang, Chenglei Qi, Huihui Ye, Menghao Qian, Xuelin Wang, Peng Zhang, Yanning School of Computer Science Northwestern Polytechnical University China Natl. Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology Shaanxi Xi'an China School of Automation Northwestern Polytechnical University The BRain and Artificial INtelligence Lab Shaanxi Xi'an China

ISBN: (纸本)9798400706868

With the wide application of deep neural network models in various computer vision tasks, there has been a proliferation of adversarial example generation strategies aimed at deeply exploring model security. However, existing adversarial training defense models, which rely on single or limited types of attacks under a one-time learning process, struggle to adapt to the dynamic and evolving nature of attack methods. Therefore, to achieve defense performance improvements for models in long-term applications, we propose a novel Sustainable Self-Evolution Adversarial Training (SSEAT) framework. Specifically, we introduce a continual adversarial defense pipeline to realize learning from various kinds of adversarial examples across multiple stages. Additionally, to address the issue of model catastrophic forgetting caused by continual learning from ongoing novel attacks, we propose an adversarial data replay module to better select more diverse and key relearning data. Furthermore, we design a consistency regularization strategy to encourage current defense models to learn more from previously trained ones, guiding them to retain more past knowledge and maintain accuracy on clean samples. Extensive experiments have been conducted to verify the efficacy of the proposed SSEAT defense method, which demonstrates superior defense performance and classification accuracy compared to competitors. © 2024 ACM.

关键词： Adversarial machine learning

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Cooperative Cover Penetration Strategy for Hypersonic Vehicle Swarm System

Cooperative Cover Penetration Strategy for Hypersonic Vehicl...

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第43届中国控制会议

作者： Jiapei Zheng Heng Li Jianglong Yu Xiwang Dong Qingke Tan Rui Lv Chunwang Jiang School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control LaboratoryBeihang University Institute of Artificial Intelligence Beihang University China Academy of Launch Vehicle Technology

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

Aiming at the scenario of hypersonic vehicle swarm confrontation,a swarm cover penetration strategy is proposed to raise the penetration rate of the ***,the description model of the attacker and interceptor swarms is ***,the cover penetration strategy and segmented guidance law for the attacker swarm are *** that,an optimization problem and the corresponding cost function are drawn and then solved by the method of Newton's ***,numerical simulation verifies the effectiveness of the proposed strategy and also proves its robustness against the random changes in position and velocities of the interceptor swarm.

关键词： hypersonic vehicle cooperative penetration swarm

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Safety Protection Analysis with Formal Verification for Process control System Under Cyberattacks

Safety Protection Analysis with Formal Verification for Proc...

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第35届中国过程控制会议

作者： Xuqing Liang Chunjie Zhou Yu-Chu Tian Xin Du Peihang Xu School of Artificial Intelligence and Automation Huazhong University of Science and Technology The Key Laboratory of Image Processing and Intelligent Control Ministry of Education School of Computer Science Queensland University of Technology

The safety protection of process control systems plays a crucial role in the overall safety of critical *** have increased the complexity of existing safety protection analysis. Traditional safety analysis methods fall short in accounting for cyberattack factors, making it challenging to conduct safety protection analysis under cyberattacks. To address this issue, this paper presents a new safety protection analysis method that considers multiple safety factors explicitly including cyberattacks using formal verification. The method consists of three main components: exhaustive system safety specifications,formal models, and system safety validation. The system safety specification component adds a cyberattack factor to system safety requirements based on the system theory process analysis(STPA) method. The formal model component considers the system's dynamic operation process, and safety protection behaviors under typical attack behaviors. The system safety validation component validates the effectiveness of system safety protection under cyberattacks by the UPPAAL tool, from the perspective of whether system safety constraints are triggered and whether the change curve of process variables is compliant. Finally, the effectiveness of the presented approach is carried out for a simplified fluid catalytic cracking(FCC) fractionating system.

关键词： Safety protection analysis Formal verification Cyberattacks System theory process analysis(STPA)

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