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
Automation & Control Systems
Li Qiu, Longcheng Dai, Usama Ahsan, Chen Fang, Marzieh Najariyan, Jianfei Pan
Summary: This article focuses on model predictive control (MPC) for networked control system with the denial-of-service (DoS) attack and network-induced time delay. The proposed network control strategy based on MPC effectively solves the impact of DoS attacks and time delays on the tracking performance of multiple linear motors.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Automation & Control Systems
Xiaolei Li, Changyun Wen, Ci Chen
Summary: In this article, the problem of distributed resilient cooperative control is studied for directed networked Lagrangian systems under denial-of-service (DoS) attacks. A novel resilient cooperative control scheme is proposed using the sampling control approach, solving the challenges of the considered nonlinear networked Lagrangian systems under DoS attacks.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Automation & Control Systems
Huanhuan Yuan, Yuanqing Xia, Hongjiu Yang
Summary: This article investigates a cyber-physical system with multiple remote state estimation subsystems under DoS attack, analyzing the interaction between sensors transmitting information and DoS attackers jamming channels. By constructing a multisensor multichannel remote state estimation model and comparing different game-solving approaches, both short-term and long-term strategies are explored in varying network environments.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Automation & Control Systems
Xiaodan Zhang, Feng Xiao, Bo Wei, Mei Yu, Kaien Liu
Summary: This article investigates the resilient control for networked control systems in the presence of denial-of-service (DoS) attacks using a sampled-data and dynamic quantization scheme. A novel dynamic quantization strategy is designed for signal transmissions in the presence of DoS attacks. An estimator is introduced to design control laws and sufficient conditions are provided for the asymptotic stability of the system. An event-triggered communication scheme is also designed to reduce network resource consumption.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
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
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)
Review
Automation & Control Systems
Henrik Sandberg, Vijay Gupta, Karl H. Johansson
Summary: As cyber-vulnerabilities in control systems continue to be exploited, it is crucial to develop methods for risk analysis and mitigation strategies. Recent advancements in the control systems community have led to a greater understanding of cyber-threats. This article provides an overview of the latest research on secure networked control systems, introducing an attack space and describing three types of attacks along with proposed models and mitigation strategies.
ANNUAL REVIEW OF CONTROL ROBOTICS AND AUTONOMOUS SYSTEMS
(2022)
Article
Automation & Control Systems
M. Sathishkumar, Yen-Chen Liu
Summary: This study proposes a resilient control design with an adaptive event-triggered mechanism for networked control systems, able to address denial-of-service attacks, actuator saturation and actuator faults. By introducing an adaptive event-triggered mechanism, unnecessary communication transmissions in the network are reduced while maintaining system performance, and Lyapunov function approach and LMIs are used to ensure stability and performance of closed-loop systems.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2022)
Article
Engineering, Multidisciplinary
Xiaoyuan Luo, Yuliang Fu, Xiaolei Li
Summary: This article discusses the distributed resilient synchronization control problem of networked Euler-Lagrange systems under event-based communication with distributed denial-of-service attacks. It proposes a novel distributed dynamic event-triggered scheme and self-triggered scheme to ensure the asymptotic synchronization of the system, and avoids Zeno behavior.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(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
Xiaodan Zhang, Feng Xiao, Aiping Wang, Bingxian Mu
Summary: This paper investigates resilient quantized control for networked control systems that operate under limited communication resources and face denial-of-service (DoS) attacks. The focus is to design asynchronous periodic sampling transmission strategies. The paper introduces a new dynamic quantization strategy to address the challenges posed by limited network capabilities. Additionally, numerical simulations are presented to demonstrate the effectiveness of the proposed strategy.©2023 Elsevier B.V. All rights reserved.
SYSTEMS & CONTROL LETTERS
(2023)
Article
Automation & Control Systems
Youngjun Joo, Zhihua Qu, Toru Namerikawa
Summary: This article presents an attack-resilient control structure for enhancing the security of a cyber-physical system against stealthy system integrity attacks. The proposed structure can detect stealthy attacks and maintain nominal performance, while using chaotic oscillators for secure communication to prevent eavesdropping of transmitted signals. Resilience against malicious attacks and robustness under time delay and nonlinear components of the CPS structure are investigated, and simulations for validation are performed on a quadruple-tank process.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Automation & Control Systems
Yong Xu
Summary: This article investigates secure consensus in networked nonlinear multiagent systems (MASs) under denial-of-service attacks via unreliable communication networks in a directed graph. It proposes a resilient leader-following event-triggered control protocol and static triggering policy to ease communication load between agents. Additionally, a dynamic triggering policy is developed to achieve secure consensus in the directed graph case, reducing triggering instants. The article establishes a unified hybrid framework to derive new sufficient conditions for secure consensus without continuous communications among neighboring agents, with parameter design through optimization problems. The theoretical analysis is verified through a robot manipulator system example.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Computer Science, Information Systems
M. Sathishkumar, Yen-Chen Liu
Summary: This paper studies the problem of resilient adaptive event-triggered control for singular networked cascade control systems (SNCCSs) under various types of faults and attacks. It proposes a resilient adaptive event-triggered mechanism (AETM) based on the adaptive threshold technique to reduce transmission frequency and combat DoS attacks. The system is modeled as a switched system with switchings controlled by the DoS frequency and duration. The paper provides an analysis of the resulting switched SNCCS and a co-design method for the primary and secondary controllers and triggering parameters.
Article
Computer Science, Artificial Intelligence
Yuanzheng Li, Shangyang He, Yang Li, Yang Shi, Zhigang Zeng
Summary: This article proposes a federated multiagent deep reinforcement learning algorithm for energy management in multimicrogrids. The federated learning mechanism is introduced to ensure data privacy and security. Experimental results demonstrate the effectiveness of the proposed method.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Shuwen Wang, Kunde Yang, Yang Shi, Fan Yang, Hao Zhang
Summary: This article investigates the impact of tropical cyclones on the remote sensing capability of electromagnetic systems, particularly focusing on the influence of evaporation ducts in the air-sea boundary layer. Observations of multiple over-the-horizon propagation links during Typhoon Mulan were presented, revealing the path loss and surface variations in areas of high wind speed and the eye of the typhoon. The results show that evaporation duct height affects the path loss in electromagnetic propagation, with high duct height resulting in low path loss in the high wind speed area and low duct height leading to high path loss in the typhoon eye.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2023)
Article
Automation & Control Systems
Changxin Liu, Yang Shi, Huiping Li, Wenli Du
Summary: In this article, decentralized convex constrained optimization problems in networks are studied. Two new decentralized dual averaging (DDA) algorithms are proposed, which achieve faster convergence compared to existing methods. The first algorithm uses a second-order dynamic average consensus protocol to estimate the global dual variable accurately. The second algorithm utilizes extrapolation technique and achieves fast convergence without relying on the spectrum of the mixing matrix.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Kaikai Zheng, Dawei Shi, Yang Shi, Junzheng Wang
Summary: This article considers an event-triggered online learning problem for Lipschitz continuous systems with nonlinear model mismatch, aiming to build a data-efficient nonparametric estimation approach for learning-based control. Event-triggering mechanisms based on a lazily adapted constant kinky inference framework are designed, and their properties are analyzed. A tube-based adaptive model predictive control (MPC) design approach is developed utilizing the proposed event-triggered learning approach, and the closed-loop stability of the adaptive MPC is analyzed and proved based on the properties of the event-triggered learning algorithms.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Engineering, Electrical & Electronic
Zepeng Ning, Xunyuan Yin, Yang Shi
Summary: This paper proposes a novel quantized control strategy for network-based linear systems subject to multi-input-multi-output (MIMO) quantization. A logarithmic quantization scheme is adopted for characterizing the quantization effect on system dynamics. The proposed method and the associated theoretical results are extended to the disturbance attenuation case, and their efficacy and superiority are demonstrated through benchmark examples and a converter circuit.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2023)
Article
Automation & Control Systems
Fengqiu Xu, Yang Shi, Kaiyang Zhang, Xianze Xu
Summary: This article improves the transient response of a magnetically levitated (maglev) planar machine by using model predictive control (MPC) and explicitly incorporating tightened input constraints. The maglev system is modeled as a second-order linear model to enable fast online receding horizon optimization. The estimated lumped disturbance compensates for prediction deviations caused by unmodeled errors, leading to control signals that eliminate steady-state errors. Experimental results demonstrate the superiority of the proposed controller in trajectory tracking compared to other controllers.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Cong Zhang, Jiahu Qin, Qichao Ma, Yang Shi, Menglin Li
Summary: This article investigates the resilient distributed state estimation for dynamic target states in sensor networks under measurement attacks. A dynamic-target regulative gain estimation (DTRGE) algorithm is proposed to achieve the estimation for general linear time-invariant (LTI) systems. The algorithm includes an attack detector, a regulative gain matrix, and an adaptive gain to counteract measurement anomalies and system matrix, and simulations and experiments are conducted to validate its performance.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2023)
Article
Engineering, Marine
Yang Shi, Shuwen Wang, Fan Yang, Kunde Yang
Summary: In this paper, the statistical distribution of atmospheric ducts over the northern South China Sea is analyzed, and the propagation characteristics of microwaves near the sea surface in the presence of both surface and evaporation ducts are studied using the parabolic equation model. It is found that a hybrid atmospheric duct structure can capture more microwave energy at a lower receiving height compared to considering only one type of atmospheric duct.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Automation & Control Systems
Chenglong Du, Fanbiao Li, Yang Shi, Chunhua Yang, Weihua Gui
Summary: This article proposes an integral-based event-triggered attack-resilient control method for the aircraft-on-ground (AoG) synergistic turning system with uncertainties under stochastic deception attacks. A novel AoG synergistic turning model is established with reverse steering to decrease the steering angle. A dynamical observer is designed to adaptively identify tire cornering stiffness and estimate the system state. An integral-based event-triggered mechanism (I-ETM) is synthesized to reduce transmission frequency at the observer to-controller end. An attack resilient controller is designed to guarantee robust stability. The simulation results demonstrate the effectiveness of the proposed control method in following a path with large curvature and saving communication resources compared to static event-triggered mechanisms.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2023)
Article
Automation & Control Systems
Zhouhua Peng, Yue Jiang, Lu Liu, Yang Shi
Summary: This article addresses the problem of path-guided flocking control for unmanned surface vehicles (USVs) with fully unknown kinetics. A model-free learning and anti-disturbance control method is developed to achieve path-guided flocking without the need for prior knowledge of model nonlinearities, ocean disturbances, or control input gains. The proposed method utilizes fuzzy systems and data-driven concurrent learning extended state observers to estimate the unknown kinetics of the USVs. The effectiveness of the proposed method is demonstrated through simulation results.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Wentao Zhang, Yang Shi, Baoyong Zhang, Kaihong Lu, Deming Yuan
Summary: This letter discusses the application of online distributed convex constrained optimization on a time-varying multi-agent network. Agents in the network cooperate through information exchange and local computation to minimize the global objective function. To deal with limited communication capacity, a random quantizer is introduced to reduce transmission bits. A quantized distributed online projection-free optimization algorithm is developed, which achieves saving of communication resources and computational costs. The proposed algorithm's dynamic regret upper bounds are established for different quantizer parameter settings, revealing the trade-off between convergence performance and the quantization effect. Theoretical results are illustrated through simulation of distributed online linear regression problem.
IEEE CONTROL SYSTEMS LETTERS
(2023)
Article
Engineering, Aerospace
Xiaodong Shao, Qinglei Hu, Daochun Li, Yang Shi, Bowen Yi
Summary: This article provides an exponential stability result for the adaptive anti-unwinding attitude tracking problem of a rigid body with uncertain inertia parameters, without the need for a persistent excitation (PE) condition. A composite adaptive control scheme with guaranteed parameter convergence is proposed, and a barrier function is introduced to avoid the unwinding problem. Simulation results are presented to verify the theoretical findings.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2023)
Article
Automation & Control Systems
Li-Ying Hao, Run-Zhi Wang, Chao Shen, Yang Shi
Summary: This article proposes a robust model predictive control scheme for the trajectory tracking control of autonomous underwater vehicles subject to bounded disturbances. An improved tube-based MPC scheme is developed based on the error dynamics model derived from the AUV dynamics and the desired trajectory. Simulation results demonstrate the effectiveness of the proposed method.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Automation & Control Systems
Hongwei Sun, Hai-Tao Zhang, Ning Xing, Yasen Wang, Yang Shi
Summary: This article proposes a closed-loop electrospinning process control system, establishes a data-driven fuzzy model using sparse Bayesian learning method, and finely tunes the electrospinning fiber diameter using a closed-loop fuzzy logic controller. Experimental results show the effectiveness and superiority of this method.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Huan Yang, Li Dai, Huahui Xie, Yang Shi, Yuanqing Xia
Summary: This paper proposes a resilient model predictive control strategy for constrained cyber-physical systems subject to disturbances and cyber attacks, which uses attack detectors and dual controllers to mitigate the negative effects caused by attacks. Simulations on a supply chain model demonstrate the efficacy of the algorithm.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
