Article
Automation & Control Systems
Chao Deng, Fanghong Guo, Changyun Wen, Dong Yue, Yu Wang
Summary: This article proposes a cooperative resilient control method for dc microgrid to mitigate the adverse effects of communication delays and DoS attacks. By introducing a new time-varying sampling period and an improved communication mechanism, a resilient secondary controller is designed. The developed method is theoretically shown to achieve bus voltage restoration and current sharing even in the presence of communication delays and DoS attacks.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Automation & Control Systems
Songlin Hu, Fuyi Yang, Sergey Gorbachev, Dong Yue, Victor Kuzin, Chao Deng
Summary: This paper investigates the design of a resilient current controller for a networked DC microgrid system with multiple constant power loads (CPLs) in the presence of a new type of time-constrained denial-of-service (DoS) attack. Unlike existing DoS attack models, which consider DoS frequency and duration, this paper focuses on the duration characteristics of sporadic/aperiodic DoS attacks and proposes a new time-constrained DoS attack model. Under the impact of such attacks, a switching state feedback control law is formulated and a switching-like DC microgrid system model is established. Moreover, leveraging an attack-parameter-dependent time-varying Lyapunov function (TVLF) method, the exponential stability criterion of the resulting DC microgrid system under aperiodic DoS attacks is derived, and a new resilient controller design method is introduced. Simulation studies are conducted to validate the effectiveness and advantages of the proposed resilient control design scheme in terms of achieving desired control performance and attack resilience.
Article
Computer Science, Information Systems
Feisheng Yang, Xuhui Liang, Xiaohong Guan
Summary: This paper focuses on the economic dispatch problem of a smart grid under malicious denial of service (DoS) attacks. A new distributed optimization model considering environmental pollution penalties is established, and a novel distributed event-triggered scheme is proposed to maintain system resilience and economy. An improved multi-agent consensus protocol based on gradient descent is designed to minimize system power generation cost, with theoretical results verified through simulation.
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING
(2021)
Article
Automation & Control Systems
Xiaolei Li, Jiange Wang
Summary: In this article, the resilient consensus control problem of multiple Euler-Lagrange systems in the presence of external disturbances and denial-of-service (DoS) attacks is considered. An adaptive control scheme is proposed to handle unknown disturbances, and an auxiliary system is designed to achieve resilience to DoS attacks. Sufficient conditions are presented, and simulation results are given to verify the effectiveness of the proposed approach.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Engineering, Civil
Roberto Merco, Francesco Ferrante, Pierluigi Pisu
Summary: This paper presents a resilient Cooperative Adaptive Cruise Control (CACC) design for homogeneous vehicle platoons vulnerable to Denial-of-Service (DOS) attacks, using linear matrix inequalities (LMI) based control tuning to maximize resiliency while ensuring performance and string stability. The design procedure provides controller gains and establishes a lower bound on the allowable number of successive packet dropouts. A numerical example is used to demonstrate the effectiveness of the proposed approach.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Automation & Control Systems
Neda Sarrafan, Jafar Zarei, Roozbeh Razavi-Far, Mehrdad Saif
Summary: This article investigates the problem of resilient finite-time consensus tracking for high-order nonholonomic chained-form systems in the presence of denial-of-service (DoS) attacks. A novel secure distributed observer is developed to accelerate the convergence speed of the observer. The paralyzed-connectivity graphs resulting from DoS attacks are repaired, and a fast finite-time backstepping control algorithm is established for each follower to ensure fast convergence performance. An evaluation using wheeled mobile robots is conducted to assess the proposed control algorithm under DoS attacks.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Automation & Control Systems
Yan Liu, Guang-Hong Yang
Summary: This article investigates the resilient event-triggered distributed state estimation problem for nonlinear systems under denial-of-service attacks. By designing a multi-mode switching estimator and dynamic trigger threshold, the efficiency loss of the ET mechanism caused by DoS attacks is addressed. Sufficient conditions are provided to guarantee the stability of the estimation error system under DoS attacks.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Automation & Control Systems
Weitao Yao, Yu Wang, Yan Xu, Chao Deng
Summary: This article investigates the stability issue of microgrid systems with distributed secondary control under latency attacks and random denial-of-service attacks. It proposes a cyber-resilient control strategy with two control modes to sustain the stability and control functions of the systems under different attack scenarios. Experimental tests on a modified IEEE 13-bus microgrid system verify the effectiveness of the proposed controller.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Automation & Control Systems
Fang Fang, Jiayu Li, Yajuan Liu, Ju H. Park
Summary: In this article, a resilient distributed sampled-data control scheme is proposed for multiagent systems. The scheme introduces novel logic processors to obtain information on DoS attacks and develops resilient distributed controllers using derived criteria. Two examples are provided to demonstrate the efficiency of the proposed scheme.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Electrical & Electronic
Pudong Ge, Boli Chen, Fei Teng
Summary: This paper addresses the consensus problem of frequency synchronization in networked microgrids under multi-layer denial of service (DoS) attacks. A unified notion of Persistency-of-Data-Flow (PoDF) is proposed to characterize the data unavailability in different information network links. The proposed edge-based self-triggered distributed control framework preserves consensus under the sufficient condition of the DoS attacks. An online self-adaptive scheme of the control parameters is developed to mitigate the conservativeness of the offline design. The effectiveness of the proposed cyber-resilient self-triggered distributed control is verified by representative case studies.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Automation & Control Systems
Yushuai Li, Bonan Huang, Jing Dai, David Wenzhong Gao, Qiuye Sun, Huaguang Zhang
Summary: This paper investigates the economic dispatch problem, a type of distributed constrained optimization problem, in the presence of DoS attacks. To reduce the effect of these attacks, a distributed resilient initialization-free Jacobi descent algorithm is proposed, which demonstrates strong robustness and faster convergence.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Automation & Control Systems
Xiaoyu Guo, Zhen Dong, Chenliang Wang, Zhengtao Ding
Summary: This paper introduces an event-based distributed estimation approach to deal with the joint influence of Denial-of-Service (DoS) and deception attacks under disturbances in networked cyberphysical systems. A distributed event-based communication scheme is proposed to guarantee estimation performance and reduce data transmission burden. A novel adaptive observer is constructed to compensate for deception attacks, and a distributed disturbance observer is proposed for disturbance rejection. The proposed estimation approach can provide attack-resilient state estimation subject to both DoS and deception attacks under disturbances and prevent Zeno phenomenon. A simulation example on an IEEE four-bus power grid demonstrates the feasibility and effectiveness of the proposed approach.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Chao Deng, Xiao-Zheng Jin, Zheng-Guang Wu, Wei-Wei Che
Summary: In this article, a hierarchical cooperative resilient learning method is introduced to solve the cooperative tracking problem for a class of nonlinear multiagent systems (MASs) with unknown dynamics under denial-of-service (DoS) attacks. A resilient model-free adaptive control (MFAC) algorithm is developed to withstand the influence of communication delays and DoS attacks. Simulation results show the effectiveness of the developed method.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Automation & Control Systems
Songlin Hu, Dong Yue, Xiaoli Chen, Zihao Cheng, Xiangpeng Xie
Summary: This paper focuses on the resilient H infinity filter design for event-triggered networked systems subject to nonperiodic denial-of-service (DoS) jamming attacks. By proposing a new resilient event-triggered transmission strategy and modeling the filtering error system as a switched system using a time-delay approach, the effects of event-triggering scheme and nonperiodic DoS jamming attacks are characterized simultaneously. The linear matrix inequality (LMI)-based sufficient conditions are formulated to achieve the globally exponential stability as well as the weighted H-infinity performance of the resulting switched system under the DoS jamming attacks, demonstrating the effectiveness of the proposed method through a practical example.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Automation & Control Systems
Shengxuan Weng, Dong Yue, Jianbo Chen, Xiangpeng Xie, Chunxia Dou
Summary: This article investigates the application of distributed resilient cooperative control in photovoltaic generators under DoS attacks. The proposed method, with the introduction of self-triggered mechanism, enables control performance under attacks and reduces data flow in the communication network. Guidance for parameter selection in resilient control method is provided, and the effectiveness of the theoretical results is verified through simulations.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Saijie Fan, Wei Liang, Derui Ding, Hui Yu
Summary: This paper proposes a Lightweight Attention-guided ConvNeXt Network (LACN) for low-light image enhancement. By introducing a parameter-free attention module and stacking and fusing features, the LACN is able to effectively enhance low-light images. The experimental results demonstrate significant improvements in the visual quality of low-light images.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Automation & Control Systems
Jun Dou, Guoliang Wei, Yan Song, Dihao Zhou, Ming Li
Summary: This study proposes a novel synthetic minority oversampling technique (NSS) to handle imbalanced and missing data. NSS includes the use of LNMF for imputation, mapping complete data into an empirical feature space, assigning synthetic samples based on clustering results and minority class sparsity, and providing oversampling strategies for different distributions. Experimental results show that the proposed NSS outperforms other state-of-the-art methods.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Automation & Control Systems
Haifang Song, Derui Ding, Bo Shen, Hongli Dong
Summary: This article addresses the jointly distributed entropy filtering issues for discrete-time stochastic parameter systems with fault and non-Gaussian noise effects, using the generalized maximum correntropy criterion (GMCC). A memory-based event-triggered scheme with a time-varying threshold is proposed to govern network communication by incorporating current and historical triggered information. The constructed jointly distributed entropy filter is used to derive upper bounds of filtering error covariance matrices and obtain an ideal filter gain for maximizing GMCC, while an accessible gain is achieved through fixed-point iterative rules with disclosed convergence in theory. Finally, the effectiveness of the proposed distributed filter is demonstrated in ballistic object tracking under non-Gaussian environments.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Computer Science, Artificial Intelligence
Kaiqun Zhu, Zidong Wang, Yun Chen, Guoliang Wei
Summary: This article investigates the simultaneous state and fault estimation problem for a class of nonlinear 2-D shift-varying systems. A new encoding-decoding mechanism is proposed to optimize the transmission of data. By using mathematical induction technique and convex optimization approaches, conditions for the existence of the desired estimator are derived, and the estimator parameters are presented as solutions to a set of optimization problems.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Automation & Control Systems
Kaiqun Zhu, Zidong Wang, Qing-Long Han, Guoliang Wei
Summary: This article investigates the distributed set-membership fusion filtering problem for nonlinear 2-D shift-varying systems subject to unknown-but-bounded noises over sensor networks. It introduces a logarithmic-type encoding-decoding mechanism for each sensor node to enhance transmission security and relieve communication burden. A distributed set-membership filter is designed to determine the local ellipsoidal set that contains the system state. A new ellipsoid-based fusion rule is developed to form the fused ellipsoidal set with a globally smaller volume. Sufficient conditions are derived for the existence of the desired distributed set-membership filters and fusion weights.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Wei Chen, Zidong Wang, Jun Hu, Guo-Ping Liu
Summary: This article investigates the differentially private average consensus problem for multiagent systems with quantized communication. A logarithmic dynamic encoding-decoding scheme is developed to eliminate the influence of quantization errors on consensus accuracy. The article establishes a unified framework integrating convergence analysis, accuracy evaluation, and privacy level for the developed DPAC algorithm. Sufficient conditions for the almost sure convergence, convergence accuracy, and privacy level are derived, and simulation results verify the correctness and validity of the algorithm.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Engineering, Electrical & Electronic
Wei Chen, Lu Liu, Guo-Ping Liu
Summary: This paper addresses the privacy-preserving distributed economic dispatch problem in microgrids. A homomorphically encrypted consensus algorithm is developed to achieve optimal power distribution with the least cost while preventing sensitive information leakage. A novel estimator-like dynamic quantizer is constructed to facilitate data encryption. Mathematical induction and matrix norms are utilized to ensure unsaturated quantization output and exact consensus. The additive homomorphic property of the Paillier algorithm is employed to embed secrecy in pairwise interaction dynamics, ensuring the distributed algorithm converges to the optimal value without disclosing private or sensitive state information. Case studies validate the feasibility and validity of the privacy-preserving economic dispatch scheme in IEEE 39-bus power systems.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Automation & Control Systems
Wei Chen, Zidong Wang, Derui Ding, Gheorghita Ghinea, Hongjian Liu
Summary: This article investigates the distributed formation-containment (FC) control problem for a class of discrete-time multiagent systems (DT-MASs) under the event-triggered communication mechanism. A novel dynamic event-triggered (DET) mechanism is developed to save communication cost and improve resource utilization. Based on available relative outputs, a distributed FC control scheme under the DET mechanism is proposed for all leaders and followers. The goal is to design an FC controller such that all leaders achieve formation shape and all followers converge into a convex hull. The considered DT-MASs are decoupled into a diagonal form using the Laplacian matrix property and inequality technique, and two sufficient conditions are established to ensure the desired FC performance. The FC controller parameters are obtained based on the solutions to two matrix inequalities depending on the maximum and minimum nonzero eigenvalues of the Laplacian matrix. An illustrative example is provided to verify the effectiveness of the developed control scheme.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Xinchen Guo, Guoliang Wei
Summary: This paper addresses the fixed-time leader-following consensus problem for multiple Euler-Lagrange systems under a directed graph using non-singular terminal sliding mode control. Disturbance observers are introduced to estimate the compound disturbance and a distributed fixed-time observer is designed to estimate the leader's position and velocity. A novel non-singular terminal sliding surface is proposed to ensure convergence of tracking errors to zero within a fixed time. The effectiveness of the proposed approach is verified through numerical simulation.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Automation & Control Systems
Wei Chen, Zidong Wang, Derui Ding, Xiaojian Yi, Qing-Long Han
Summary: This article discusses the problem of distributed state estimation over wireless sensor networks, introduces a new distributed state estimator, and systematically discusses the probability distribution of energy level. Furthermore, the optimal estimator gain is derived by minimizing the trace of the estimation error covariance, and the convergence of the minimized upper bound of the expected estimation error covariance is analyzed.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Engineering, Electrical & Electronic
Xinchen Guo, Guoliang Wei, Derui Ding
Summary: In this paper, a fully distributed sliding mode controller with fault compensation is proposed for the consensus problem of discrete-time first-order multi-agent systems with actuator faults. A novel fully distributed integral sliding surface (ISS) without global information is introduced to ensure consensus in the presence of faults. A fully distributed sliding mode fault-tolerant controller is constructed based on the sliding surface and identified faults, with a derived sufficient condition for the finite-time reachability of the distributed ISS. Simulation results demonstrate the effectiveness of the proposed control algorithm.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2023)
Article
Computer Science, Artificial Intelligence
Kaiqun Zhu, Zidong Wang, Guoliang Wei, Xiaohui Liu
Summary: This article investigates the adaptive neural network-based set-membership state estimation problem for a class of nonlinear systems subject to bit rate constraints and unknown-but-bounded noises. A bit rate allocation mechanism is proposed to relieve the communication burden and improve state estimation accuracy. An NN-based set-membership estimator is designed using the NN learning method, relying upon a prediction-correction structure. The existence of adaptive tuning parameters and set-membership estimators is ensured, and the convergence of NN weights is analyzed.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Automation & Control Systems
Wei Chen, Rong Zhao, Lu Liu, Guo-Ping Liu
Summary: This article focuses on mean-square consensus control of discrete-time multiagent systems over time-correlated multistate Markovian fading channels with a compressed coding scheme. Sufficient conditions and linear matrix inequalities are derived to ensure mean-square stability and consensus performance. The problem is further transformed into an analyzable edge agreement issue for nonidentical fading channels. Two illustrative examples validate the effectiveness and feasibility of the design scheme.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Lan Lan, Guoliang Wei, Derui Ding
Summary: This article proposes a bandwidth-aware dynamic event-triggered strategy to reduce communication burden and energy consumption for a class of nonlinear systems subject to unknown inputs and sensor failures. It constructs a novel distributed filter with the aid of an intermediate variable to resolve unknown inputs. The optimal gains are designed to minimize the upper bound of the filtering error covariance derived based on the structure combined with Kalman filtering theory. The effectiveness of the proposed method is illustrated through simulation examples.
IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS
(2023)
