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Game Theory based Optimal Defensive Resources Allocation with Incomplete Information in Cyber-physical Power Systems against False Data Injection Attacks

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Protection and control of Modern Power Systems 2024年第2期9卷 115-127页

作者： Bingjing Yan Zhenze Jiang Pengchao Yao Qiang Yang Wei Li Albert Y.Zomaya College of Electrical Engineering Zhejiang University College of Control Science and Engineering Zhejiang University College of Electrical Engineering Zhejiang UniversityHangzhou 310027China School of Information Technologies at The University of Sydney School of Information Technologies

Modern power grid is fast emerging as a complex cyber-physical power system(CPPS)integrating physical current-carrying components and processes with cyber-embedded computing,which faces increasing cy-berspace security threats and *** this paper,the state(i.e.,voltage)offsets resulting from false data injection(FDI)attacks and the bus safety characterization are applied to quantify the attack *** state offsets are obtained by the state estimation method,and the bus safety characterization considers the power net-work topology as well as the vulnerability and connection relationship of *** the indeterminacy of attacker’s resource consumption and reward,a zero-sum game-theoretical model from the defender’s perspective with incomplete information is explored for the optimal allocation of limited defensive *** attacker aims to falsify measurements without triggering threshold alarms to break through the protection,leading to load shedding,over-voltage or *** defender attempts to ensure the estimation results to be as close to the actual states as possible,and guarantee the system’s safety and efficient defensive resource *** proposed solution is extensively evaluated through simu-lations using the IEEE 33-bus test network and real-time digital simulator(RTDS)based testbed experiments of the IEEE 14-bus *** results demonstrate the effec-tiveness of the proposed game-theoretical approach for optimal defensive resource allocation in CPPS when lim-ited resources are available when under FDI *** Terms—Optimal strategy,game theory,Nash equilibrium,CPPS,FDI attack.

关键词： Optimal strategy game theory Nash equilibrium CPPS FDI attack

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Research on adaptive formation control of mobile robot based on improved virtual spring method 23

Research on adaptive formation control of mobile robot based...

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9th International Conference on Computing and Artificial Intelligence, ICCAI 2023

作者： Chen, Yimei Li, Bingqi Kamiya, Tohru Shi, Xiaofan School of Control Science and Engineering Tiangong University Xiqing Tianjin China Department of Control Engineering Kyushu Institute of Technology Fukuoka Kitakyushu Japan

ISBN: (纸本)9781450399029

A robot formation control algorithm based on virtual spring model is proposed to solve the problem of path planning and formation keeping in unknown environment. By improving the design of target attraction, obstacle repulsion and interaction force between robots, the formation control is more secure and stable. Furthermore, the leader-follower formation transformation problem is studied. According to the objective function of minimum completion time, minimum total energy consumption and minimum total spring deformation, an adaptive formation transformation strategy is designed. This strategy can choose formation transformation mode adaptively according to the environment characteristics, such as adjust the parameters of the formation and reconfigure the formation, so that the robot formation can complete the task in a short time and energy consumption. Finally, the effectiveness of the proposed method is verified by simulation and real experiment. © 2023 Copyright held by the owner/author(s).

关键词： Multipurpose robots

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Multi-objective semi-supervised clustering algorithm based on constraint set optimization for gene expression data 41

Multi-objective semi-supervised clustering algorithm based o...

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第41届中国控制会议

作者： Minghui Zhao Dan Li School of Control Science and Engineering Dalian University of Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Gene clustering helps to discover co-expressed genes and infers the functions of unknown *** effective and noiseless supervised information and applying it to semi-supervised clustering algorithms can improve gene clustering ***,semi-supervised clustering algorithms based on pairwise constraints use known labels to form pairwise constraints,or mine pairwise constraints from unlabeled data based on some *** former is not suitable for unlabeled gene expression data,and the latter inevitably generates noisy *** solve the problem of noisy constraints,this paper proposes a semi-supervised clustering algorithm for gene expression data based on constraint set ***,densitybased informative constraints are mined from unlabeled gene expression data to form an initial constraint ***,to realize co-optimization of constraint set and semi-supervised clustering in multi-objective optimization process,a hybrid coding scheme that combines constraint selection and cluster centers is *** proposed method can filter the constraint sets with the guidance of clustering validities,which can delete noisy constraints in the initial constraint set and help to achieve the co-evolution of constraint selection and *** experimental results on multiple gene expression datasets show that the proposed algorithm achieves more accurate clustering results.

关键词： Semi-supervised clustering Pairwise constraint Gene expression data Multi-objective clustering

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MPC-based strategy for longitudinal and lateral stabilization of a vehicle under extreme conditions

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science China(Information sciences) 2022年第7期65卷 263-264页

作者： Zihan LI Ping WANG Chaojie ZHU Yunfeng HU Hong CHEN State Key Laboratory of Automotive Simulation and Control Jilin University Department of Control Science and Engineering School of Communication Engineering Jilin University Clean Energy Automotive Engineering Center Tongji University

Dear editor, In recent decades, active safety-control systems have been developed to assist drivers. Wheel slip ratio, yaw rate, and side-slip angle are commonly considered as the control indices of longitudinal and lateral vehicle stabilities [1]. However, if systems that only contain vehicle dynamics in longitudinal or lateral directions work simultaneously, the system objectives may conflict.

关键词： model predictive control stability control combined-slip characteristics LuGre tire model extreme driving conditions

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Indirect adaptive admittance control based on position synchronization of robot-assisted nasopharyngeal surgery 2

Indirect adaptive admittance control based on position synch...

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2nd International Conference on Electrical, Electronics, and Information engineering, EEIE 2023

作者： Hu, Zhi Liu, Yueling Song, Aiguo School of Instrument Science and Engineering Southeast University Nanjing China Laboratory of Intelligent Control and Robotics Shanghai University of Engineering Science Shanghai China

ISBN: (纸本)9781510672840

In the surgery of nasopharyngeal cancer, the surgeon operates through natural channels within small room. In its robot-assisted surgery, collisions between two manipulators and parameter variation of local tissue may lead to contact force change, It may cause target position offset. As the vessels and nerves were distributed densely in head and neck. The control system needs to ensure the operating contact force is within the safety threshold. It can avoid soft tissue tearing caused by changing of relative position over the limits. The research studies indirect adaptive admittance control based on position synchronization, which adjust the damping compensation rate. It improves the force control precision and system robustness of robot-assisted surgery through alleviating the effect of stiffness variation and collisions. And it can improve surgery security. © 2024 SPIE.

关键词： Compliance control

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Optimal Transmition Energy Scheduling in Event-triggered Redundant Channel of Cyber-Physical System Against DoS Attack 41

Optimal Transmition Energy Scheduling in Event-triggered Red...

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第41届中国控制会议

作者： Xinyu Pei Jie Lian School of Control Science and Engineering Dalian University of Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper considers transmition energy scheduling of cyber-physical systems(CPS) against Denial-of-Services(DoS)*** CPS equips a redundant channel to transmit additional data in order to relieve the influence of *** there is limited communication energy budget,an event-triggered transmition mechanism is applied to the redundant channel for effective use of *** measure system perfromance,the average expected estimation error covariance is adopted as an *** optimal energy scheduling law under given perform index is ***,relation between event-triggered threshold and communication energy level in redundant channel is presented.

关键词： DoS attacks cyber-physical system energy constraint state estimation event-triggered redundant channel

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Identifying the origin of porous evolution of microsized bismuth in potassium-ion batteries

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science China Chemistry 2024年第7期67卷 2234-2239页

作者： Shenxu Chu Kaixiang Lei Qian Yang Jiaxin Li Yuqing Zhao Mengjia Gu Lin Li Xing Hu Yu Zhang Zhuo Chen Shuo Shi Shulei Chou Shijian Zheng Tianjin Key Laboratory of Materials Laminating Fabrication and Interface Control Technology School of Materials Science and EngineeringHebei University of TechnologyTianjin 300401China Institute for Carbon Neutralization Technology College of Chemistry and Materials EngineeringWenzhou UniversityWenzhou 325035China

Microsized bismuth(Bi)with in-situ constructed three-dimensional(3D)porous network has been considered as a promising anode for high-performance potassium-ion batteries(PIBs).However,the mechanism of the in-situ porous evolution of microsized Bi during the charge/discharge process is still ***,various electrolytes are employed to disclose the origin of porous evolution of microsized Bi in *** and theoretically,the 3D porous network originates from the uniform interfacial charge distribution on the Bi surface in the linear ether-based *** addition,the universality of the interfacial charge distribution mechanism was verified by microsized Sn and *** in-situ constructed 3D porous network of Bi enables a superior potassium storage performance in a wide temperature range from-40 to 40℃.More importantly,the K_(0.9)Mn_(0.7)Ni_(0.3)O_(2)||Bi full cell delivers excellent cycling stability(a high capacity retention of 88.44%even after 2,000 cycles)and good temperature *** work gives a distinct clarification of the origin of the porous evolution of microsized Bi during cycling,which is critical for developing high-performance PIBs.

关键词： potassium-ion batteries microsized Bi porous evolution linear ether-based electrolyte interfacial charge distribution

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Incremental Weighted Ensemble for Data Streams With Concept Drift

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第1期5卷 92-103页

作者： Jiao, Botao Guo, Yinan Yang, Cuie Pu, Jiayang Zheng, Zhiji Gong, Dunwei School of Electromechanical and Information Engineering Beijing100083 China China University of Mining and Technology School of Information and Control Engineering Xuzhou221116 China Victoria University of Wellington School of Engineering and Computer Wellington6140 New Zealand Electromechanical and Information Engineering Beijing100083 China Qingdao University of Science and Technology School of Information Science and Technology Qingdao266061 China

As a popular strategy to tackle concept drift, chunk-based ensemble method adapts a new concept by adjusting the weights of historical classifiers. However, most previous approaches normally evaluate the historical classifier based on an entire chunk newly arrived, which may cause delayed adaptation. To address the issue, two novel ensemble models, named incremental weighted ensemble (IWE) and incremental weighted ensemble for multi-classification (IWE-M), are proposed. At each time step, all base classifiers are incrementally updated on a newly arrived instance. Following that, the instance is collected into a cache array. Once a data chunk is formed, a new base classifier is created. More specially, a forgetting mechanism based on variable-size window is designed to adjust the weight of each base classifier in IWE in terms of its classification accuracy on the latest instances in an online manner. IWE-M, an extension of IWE, aims to solve multiclass problems with local concept drifts. In IWE-M, the weight of a base classifier is expanded to a weight vector. In this way, this ensemble model can retain specific historical information about nondrift regions from a local drift. Experimental results show that the proposed ensemble frameworks outperform six competitive approaches on accuracy and G-mean. © 2020 IEEE.

关键词： Classifiers

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Remaining Useful Life Prediction Based on Electrochemical Impedance Characteristic Distribution

Remaining Useful Life Prediction Based on Electrochemical Im...

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2024 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2024

作者： He, Rong Guo, Bin Xi'an University Of Science And Technology College Of Electrical And Control Engineering Xi'an China Beihang University School Of Transportation Science And Engineering Beijing China

ISBN: (纸本)9798331529277

For the challenge of intricate the aging mechanism and the difficulty in measuring battery life, in-situ non-destructive diagnostic tests combined with Distribution of Relaxation Times (DRT) analysis capture the electrochemical process characteristics associated with time constants during battery cycle life. Subsequently, life prediction algorithm based on the Extreme Gradient Boosting (XGBoost) is developed. The prediction accuracy of dQ-dV, ECM (Equivalent Circuit Model), and DRT features is compared under dynamic conditions for two different batteries. The results indicate that the DRT analysis offers more precise mechanism characteristics than ECM and dQ-dV. The XGBoost-based estimation algorithm enhances the robustness of life prediction under dynamic conditions and improves the generalization across battery types. © 2024 IEEE.

关键词： Lithium-ion batteries

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Distributed Adaptive Cooperative control for Human-in-the-Loop Heterogeneous UAV-UGV Systems with Prescribed Performance

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年 1-13页

作者： Liang, Hongjing Yang, Shoufeng Li, Tieshan Zhang, Huaguang School of Automation Engineering University of Electronic Science and Technology of China Chengdu China College of Control Science and Engineering Bohai University Jinzhou China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China

This paper focuses on the distributed adaptive cooperative control problem for human-in-the-loop (HiTL) heterogeneous unmanned aerial vehicle-unmanned ground vehicle (UAV-UGV) systems via an improved prescribed performance approach. A novel human motion recognition system (HMRS) is designed and integrated into the HiTL strategy. Specifically, the leader trajectory can be changed in real time based on HMRS and the leader signal library to cope with various unexpected situations. This HiTL strategy solves the discontinuity and non-differentiability problems that may exist before and after human modification of leader signals within the extremely short time in conventional HiTL strategies. Moreover, an improved predefined-time prescribed performance approach is proposed, in which the performance function only needs to be first-order continuous differentiable instead of infinite-order continuous differentiable. This approach can greatly broaden the selection range of performance functions. Furthermore, a unified model of heterogeneous UAV-UGV systems is established to avoid designing UAV and UGV systems separately, which improves the universality of the control algorithm. Finally, the proposed HiTL control scheme is applied to a simulation example to verify its feasibility and effectiveness. IEEE

关键词： Intelligent vehicle highway systems

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