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Detection of Perfect Stealthy Attacks on Cyber-Physical systems Subject to Measurement Quantizations: A Watermark-Based Strategy

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 114-125页

作者： Yu-Ang Wang Zidong Wang Lei Zou Bo Shen Hongli Dong the College of Information Science and Technology Donghua University the Engineering Research Center of Digitalized Textile and Fashion Technology Ministry of Education IEEE the College of Electrical Engineering and Automation Shandong University of Science and Technology the Department of Computer Science Brunel University London Uxbridge the Sanya Offshore Oil and Gas Research Institute Northeast Petroleum University the Artificial Intelligence Energy Research Institute Northeast Petroleum University Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control Northeast Petroleum University

In this paper, the attack detection problem is investigated for a class of closed-loop systems subjected to unknownbutbounded noises in the presence of stealthy attacks. The measurement outputs from the sensors are quantized before transmission.A specific type of perfect stealthy attack, which meets certain rather stringent conditions, is taken into account. Such attacks could be injected by adversaries into both the sensor-toestimator and controller-to-actuator channels, with the aim of disrupting the normal data flow. For the purpose of defending against these perfect stealthy attacks, a novel scheme based on watermarks is developed. This scheme includes the injection of watermarks(applied to data prior to quantization) and the recovery of data(implemented before the data reaches the estimator).The watermark-based scheme is designed to be both timevarying and hidden from adversaries through incorporating a time-varying and bounded watermark signal. Subsequently, a watermark-based attack detection strategy is proposed which thoroughly considers the characteristics of perfect stealthy attacks,thereby ensuring that an alarm is activated upon the occurrence of such attacks. An example is provided to demonstrate the efficacy of the proposed mechanism for detecting attacks.

关键词： Attack detection cyber-physical systems (CPSs) perfect stealthy attacks watermark-based strategy

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Multi-Lever EarlyWarning forWind and Photovoltaic Power Ramp Events Based on Neural Network and Fuzzy Logic

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Energy engineering 2024年第11期121卷 3133-3160页

作者： Huan Ma Linlin Ma Zengwei Wang Zhendong Li Yuanzhen Zhu Yutian Liu Power Grid Technology Center State Grid Shandong Electric Power Research InstituteJinan250003China Shandong Electric Power Dispatching and Control Center State Grid Shandong Electric Power CompanyJinan250012China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong UniversityJinan250061China

With the increasing penetration of renewable energy in power system,renewable energy power ramp events(REPREs),dominated by wind power and photovoltaic power,pose significant threats to the secure and stable operation of power *** paper presents an early warning method for REPREs based on long short-term memory(LSTM)network and fuzzy ***,the warning levels of REPREs are defined by assessing the control costs of various power control ***,the next 4-h power support capability of external grid is estimated by a tie line power predictionmodel,which is constructed based on the ***,considering the risk attitudes of dispatchers,fuzzy rules are employed to address the boundary value attribution of the early warning interval,improving the rationality of power ramp event early *** results demonstrate that the proposed method can generate reasonable early warning levels for REPREs,guiding decision-making for control strategy.

关键词： Early warning machine learning power system security renewable energy power ramp event smart grid

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A Cycling Friendliness Measurement system for Dockless Bike-sharing Dynamic Scheme

Journal of Network Intelligence

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Journal of Network Intelligence 2023年第4期8卷 1557-1569页

作者： Li, Ben Huang, Dejuan Liao, Lyuchao Xiao, Hankun Ma, Huankun Fujian Provincial Universities Key Laboratory of Industrial Control Data Analysis Fujian Provincial Universities Engineering Research Center for Intelligent Driving Technology School of Transportation Fujian University of Technology Fuzhou350118 China

The rapid growth of Dockless Bike-sharing (DLBS) provides an excellent opportunity to meet the strong demand for convenient green travel services. However, with the increasing number of cyclists and DLBS, the issue of DLBS friendliness faces several challenges: (1) the hardness of renting in empty fences;(2) the difficulty of parking in overload fences;(3) different road conditions have different effects on cycling friendliness. To deal with these challenges, we design a DLBS friendliness (DLBSF) sys-tem, consisting of DLBS recommendation (DLBSR) system and DLBS scoring (DLBSS) system to comprehensively alleviate the problem of decreasing friendliness. The former optimizes cycling friendliness by first identifying the overload fences where the morning peak tide phenomenon is most prominent, and then provides guidance for cyclists to park the nearest idle fences. The latter gives the riding friendliness scheme by scoring and analyzing each road section to improve friendliness. Experiments on real-world DLBS datasets verify the accuracy, effectiveness, and feasibility of the proposed DLBSF system. © 2023, Taiwan Ubiquitous Information CO LTD. All rights reserved.

关键词： Fences

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research on Robot Path Planning Algorithm for Filter Plate Cleaning of Plate and Frame Filter Press 4

Research on Robot Path Planning Algorithm for Filter Plate C...

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4th International Symposium on Artificial Intelligence and intelligent Manufacturing, AIIM 2024

作者： Xu, Jie Cui, Long Zhao, Yongguo Tian, Xincheng Center for Robotics School of Control Science and Engineering Shandong University Jinan China Engineering Research Center of Intelligent Unmanned System Ministry of Education Jinan China Institute of Automation Qilu University of Technology Shandong Academy of Sciences Jinan China

ISBN: (纸本)9798331541729

Plate and frame filter press is an important solid-liquid separation equipment that plays an important role in many fields. The filter plate is one of the core components of the frame filter press, and its main function is to support the filter cloth and form a filter chamber. After the filtration process of the filter press is completed, a large number of impurities are often attached to the filter plate, so it is of great value to study the impurity cleaning problem of the filter plate of the plate and frame filter press. In this paper, aiming at the cleaning process of the filter plate of the plate and frame filter press, the image information of the filter plate is obtained by visual means, and then the image is analyzed and processed to obtain the position information of the impurities of the filter plate, the path planning of the obtained position information is carried out, and finally the robot is made to complete the cleaning task efficiently and accurately according to the planned path, which has certain practical value. © 2024 IEEE.

关键词： Robot programming

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Adaptive Neural control for an Uncertain 2-DOF Robotic system With Coupled Input Constraint 38

Adaptive Neural Control for an Uncertain 2-DOF Robotic Syste...

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38th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2023

作者： Bai, Yang Ouyang, Yuncheng Anhui University School of Artificial Intelligence The Engineering Research Center of Autonomous Unmanned System Technology Ministry of Education Anhui Provincial Engineering Research Center for Unmanned System and Intelligent Technology Hefei China

ISBN: (纸本)9798350303636

In this paper, an adaptive neural control method with coupled input constraint for a two degrees of freedom(DOF) uncertain robotic system is studied. A transformation matrix is proposed to handle the coupled input constraint problem. The coupled input constrained problem is transformed into an uncoupled input constraint problem. The incorporation of neural network techniques is aimed at addressing the uncertainty of the 2-DOF robot system. An analysis based on Lyapunov stability theory is given to illustrate the stability of the robot system with coupled input constraint. In addition, simulations are conducted on a 2-DOF robot system to further prove the feasibility and effectiveness of the proposed control. © 2023 IEEE.

关键词： 2-DOF robotic system adaptive control Coupled input constraint neural network

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Design of intelligent Backflow Prevention system 42

Design of Intelligent Backflow Prevention System

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42nd Chinese control Conference, CCC 2023

作者： Chen, Jiale Dong, Tao Wang, Shiyun Jiao, Guili Zhang, Rongrong Tian, Xincheng School of Control Science and Engineering Center for Robotics Engineering Research Center of Intelligent Unmanned System Ministry of Education Shandong University Jinan China Jinan China Shandong Tianyong Intelligent Technology Co. Ltd Jinan China Shandong Hydrology Center Jinan China

ISBN: (纸本)9789887581543

With the advent of the rainy season, the chances of urban flooding are increasing, to avoid the risk of flooding people and underground garages, this paper explains our reliance on video surveillance technology and 5G cloud data technology to collect the data of anti-backflow door equipment deployed in various parts of the city, and remote control and command in the management center, which can quickly give flood control measures and early warning to protect the personnel and property of underground garages, and reduced losses. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Remote control

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Fair Incentive Allocation for Secure Data Sharing in Blockchain systems: A Shapley Value Based Mechanism 3rd

Fair Incentive Allocation for Secure Data Sharing in Block...

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3rd International Conference on Autonomous Unmanned systems, ICAUS 2023

作者： Yang, Ming Feng, Honglin Wang, Xin Jiao, Xuguo Wu, Xiaoming Qin, Shuwei Jinan China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China School of Information and Control Engineering Qingdao University of Technology Qingdao China State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou China Department of Public Security of Shandong Province Shandong Intelligent Public Security Joint Innovation Center Jinan China

ISBN: (纸本)9789819710829

In the contemporary era of information technology, the exponential surge in data has rendered colossal potential value, which would be fully unlocked through data circulation and sharing. However, when the data contains sensitive information, special attention must be paid to the data privacy and security problem for data sharing. A feasible solution is to incorporate blockchain technology into the data sharing system, and the new challenge is how to provide fair rewards for data owners to motivate them to contribute data. To address this challenge, in this paper, we first design a blockchain-based data sharing system to enhance the trust and reliability of the data shared among participants. Then we propose an incentive allocation method based on the Shapley value, which comprehensively incorporates each participant’s contribution while ensuring fairness for the allocation. Finally, multiple numerical simulations are conducted to validate the effectiveness of the proposed mechanism. © Beijing HIWING Scientific and Technological Information Institute 2024.

关键词： Blockchain

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Discrete terminal sliding mode control for brain-controlled mobile robot: An event-triggered approach

Discrete terminal sliding mode control for brain-controlled ...

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2024 International Conference on Automation control, Algorithm, and intelligent Bionics, ACAIB 2024

作者： Zhu, Ziming Zhong, Junjia Song, Jiahuan Song, Jun Ministry of Education Hefei 230601 ChinaAnhui Provincial Engineering Research Center for Unmanned System and Intelligent Technology School of Artificial Intelligence Anhui University Hefei 230601 China

ISBN: (纸本)9781510682597

This paper proposes an event-triggered terminal sliding mode controller (ET-TSMC) for brain-controlled wheeled mobile robot (WMR), which improves the control performance and resource efficiency. First, the ET-TSMC method is formulated by taking into account the necessary conditions for reaching the sliding surface, and an event generator is designed with the objective of conserving resource utilization. Second, we analyze the practical sliding mode dynamics and develop matrix inequality conditions to guarantee the stability of the state. The human-in-the-loop (HIL) simulation results show that the proposed controller can improve the control performance of the brain-controlled simulated WMR under external disturbance while efficiently conserving computational resources. © 2024 SPIE.

关键词： Mobile robots

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ADRC controller Design for Autonomous Vehicles Queuing systems in Zero-Trust Environment 6

ADRC Controller Design for Autonomous Vehicles Queuing Syste...

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6th International Conference on Robotics, control and Automation engineering, RCAE 2023

作者： Li, Xinrong Na, Yuhong Huang, Darong Zhu, Ling School of Mathematics and Statistics Chongqing Jiaotong University Chongqing China Anhui University Engineering Research Center of Autonomous Unmanned System Technology of Ministry of Education Anhui Provincial Engineering Research Center for Unmanned System and Intelligent Technology Hefei China School of Information Science and Engineering Anhui University Chongqing Jiaotong University Engineering Research Center of Autonomous Unmanned System Technology of Ministry of Education Anhui Provincial Engineering Research Center for Unmanned System and Intelligent Technology Chongqing Hefei China School of Information Science and Engineering Chongqing Jiaotong University Chongqing China

ISBN: (纸本)9798350315301

In recent years, the integration of advanced technologies in the intelligent Connected Vehicle (ICV) field has attracted many scholars' interests, and their safety and efficiency improved significantly. However, with the increasing number of cyber attacks and security threats in modern vehicle networks, the communication environment of vehicle is deteriorated. To solve this problem, studying the topics in zero-trust environment instead of the classic full-trust environment is becoming a effective approach. Because the traditional centralized control system is considered to be insufficient to ensure the security and reliability of ICVs, the distributed system is applied to research the ICVs. In this paper, an active disturbance rejection control (ADRC) is utilized to decrease the unknown input perturbations brought by zero-trust environment to the ICV queuing system. And it also need to ensure the stability of the vehicle formation, and to mitigate the disturbances in the dynamic driving environment. The ADRC utilizes the principles of zero-trust architecture and active disturbance rejection control to enhance the robustness and security of the queue management of ICV s. In the end, the performance of the proposed ADRC is evaluated through extensive simulations and analysis, which is to demonstrate its effectiveness and superiority in maintaining a safe and efficient vehicle queue. © 2023 IEEE.

关键词： Autonomous vehicles

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Variation of spatio-temporal distribution of on-road vehicle emissions based on real-time RFID data

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Journal of Environmental Sciences 2022年第6期34卷 151-162页

作者： Yonghong Liu Wenfeng Huang Xiaofang Lin Rui Xu Li Li Hui Ding School of Intelligent Systems Engineering Sun Yat-sen UniversityGuangzhou 510006China Guangdong Provincial Key Laboratory of Intelligent Transportation System Guangzhou 510006China Guangdong Provincial Engineering Research Center for Traffic Environmental Monitoring and Control Guangzhou 510006China Shantou Municipal Urban Public Transportation Management Office Shantou 515000China

High-resolution vehicular emissions inventories are important for managing vehicular pollution and improving urban air quality. This study developed a vehicular emission inventory with high spatio-temporal resolution in the main urban area of Chongqing, based on realtime traffic data from 820 RFID detectors covering 454 roads, and the differences in spatiotemporal emission characteristics between inner and outer districts were analysed. The result showed that the daily vehicular emission intensities of CO, hydrocarbons, PM2.5, PM10,and NO_(x) were 30.24, 3.83, 0.18, 0.20, and 8.65 kg/km per day, respectively, in the study area during 2018. The pollutants emission intensities in inner district were higher than those in outer district. Light passenger cars(LPCs) were the main contributors of all-day CO emissions in the inner and outer districts, from which the contributors of NO_(x) emissions were different. Diesel and natural gas buses were major contributors of daytime NO_(x) emissions in inner districts, accounting for 40.40%, but buses and heavy duty trucks(HDTs) were major contributors in outer districts. At nighttime, due to the lifting of truck restrictions and suspension of buses, HDTs become the main NO_(x) contributor in both inner and outer districts,and its three NO_(x) emission peak hours were found, which are different to the peak hours of total NO_(x) emission by all vehicles. Unlike most other cities, bridges and connecting channels are always emission hotspots due to long-time traffic congestion. This knowledge will help fully understand vehicular emissions characteristics and is useful for policymakers to design precise prevention and control measures.

关键词： Spatio-temporal distribution Link-level vehicular emission inventory Real-time RFID data HDTs Chongqing

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