Article
Engineering, Multidisciplinary
Jianping Zhou, Dong Xu, Weipeng Tai, Choon Ki Ahn
Summary: This paper investigates switched event-triggered $\mathcal {H}_{\infty }$ security control for networked systems vulnerable to aperiodic denial-of-service (ADoS) attacks. An anti-attack switched event-triggered mechanism (ATASETM) is designed to address the impact of ADoS attacks. The paper proposes a joint-design strategy based on linear matrix inequalities for the trigger matrix and feedback gain, and validates the ATASETM-based stability analysis and $\mathcal {H}_{\infty }$ security control approaches using a satellite control system and an inverted pendulum model.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Xiehuan Li, Dan Ye
Summary: This article investigates the asynchronous adaptive event-triggered control problem for networked interval type-2 fuzzy systems subject to nonperiodic denial-of-service attacks. Two resilient adaptive event-triggered mechanisms are applied independently to sensor and controller output, adapting threshold values based on error information. The study models a new switched IT2 fuzzy dynamical output feedback system, considering the influence of the mechanisms and nonperiodic DoS attacks, and relaxes stability conditions with a slack matrix. By utilizing the piecewise Lyapunov-Krasovskii function method, sufficient conditions for global stability with H-infinity performance are derived and illustrated through examples.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Xiang-Gui Guo, Xiao Fan, Jian-Liang Wang, Ju H. Park
Summary: This article investigates an adaptive event-triggered fault detection and isolation scheme for nonlinear networked control systems under DoS attacks, utilizing a novel triggering mechanism and a switching state-feedback controller. The proposed approach demonstrates effectiveness in simulation cases and offers advantages in saving communication resources.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Xiehuan Li, Dan Ye
Summary: This paper investigates the fuzzy load frequency control (LFC) problem in nonlinear multiarea power systems under cross-layer denial-of-service (DoS) attacks and network resource constraints. A novel switched interval type-2 fuzzy power model is proposed to account for the impact of cross-layer DoS attacks. To optimize network resource usage, memory-based dynamic event-triggered mechanisms are introduced. The proposed resilient LFC strategy is demonstrated using a three-area power system.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2023)
Article
Computer Science, Information Systems
Peng-Biao Wang, Xue-Mei Ren, Dong-Dong Zheng
Summary: This paper introduces an event-triggered resilient control approach for cyber-physical systems against periodic DoS attacks, aiming to improve system performance under such attacks through a novel event-triggered scheme and establishing stability conditions. The theoretical research results are validated through a batch reactor system model.
INFORMATION SCIENCES
(2021)
Article
Automation & Control Systems
Xiuxia Yin, Zhiwei Gao, Dong Yue, Songlin Hu
Summary: This article investigates a novel compensation control method for heterogeneous multiagent systems under Denial-of-Service attacks and transmission delays. The method incorporates the advantages of cloud-based computation, adaptive event-triggering, and predictive control to eliminate the negative effects. The compensated closed system model is established using interval decomposition and augmented system modeling methods. The theoretical results are validated through simulations with five VTOL aircraft.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Automation & Control Systems
Yuangui Bao, Dan Zhao, Jiayue Sun, Guanghui Wen, Tao Yang
Summary: This article focuses on solving the synchronization problem of neural networks in the presence of denial-of-service attacks and communication delays. It proposes an attack detection algorithm based on the acknowledgment signal and a new kind of resilient event-triggered mechanism to modulate the information transmission. It also designs an event-based impulsive controller to achieve synchronization and discusses the impact of attack and triggering parameters on the synchronization performance.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Bei Chen, Yugang Niu
Summary: This article investigates the sliding mode control of Markovian jumping systems under network attacks, establishing a unified control framework under different DoS attack statuses and designing a corresponding control strategy.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(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
Computer Science, Artificial Intelligence
Shengli Du, Wenying Xu, Junfei Qiao, Daniel W. C. Ho
Summary: This article investigates the resilient output synchronization problem of a linear heterogeneous multiagent system subjected to denial-of-service attacks. Two control mechanisms, event-triggered and self-triggered, are presented to reduce unnecessary information transmission. The quantitative relationship between the attributes of the DoS attacks and synchronization is revealed. The validity of the provided mechanisms is verified through a simulation example.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Automation & Control Systems
Md Musabbir Hossain, Chen Peng, Yu-Long Wang, Xin Du
Summary: This article investigates the load frequency control problem for smart grids with denial-of-service attacks and proposes a novel event-triggered control method. The proposed method utilizes a handshake logic-based event-triggered communication scheme to detect DoS attacks and ensures the stability of the system through Lyapunov stability theory.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Automation & Control Systems
Jiancun Wu, Chen Peng
Summary: This article investigates the observer-based PID security control problem for a networked system subjected to aperiodic DoS attacks, by constructing a suitable switching observer and introducing an adaptive event-triggered communication protocol. Through sufficient conditions obtained by switched system analysis, the error switched system is ensured to be asymptotically stable. Furthermore, a co-design method of observer gains, triggered parameter, and PID controller gains is given to improve the efficiency and applicability of the obtained results.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Automation & Control Systems
Jingjing Yan, Lixiang Shi, Yuanqing Xia, Yingqi Zhang
Summary: This paper investigates event-triggered control for discrete-time switched systems under the influence of denial-of-service (DoS) attacks and output quantization. By designing an event-triggered mechanism and introducing a quantization coding method, the stability and convergence of the system are ensured.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Automation & Control Systems
Rui Zhao, Zhiqiang Zuo, Yijing Wang
Summary: This article studies the stabilization problem for switched systems in the presence of denial-of-service (DoS) attack using the event-triggered scheme. It proposes a novel multiple Lyapunov function to consider the joint effects of DoS attack and controller mode, and successfully achieves global exponential stabilization of the system. By calculating a lower bound of the event-triggered interval, the Zeno behavior is eliminated.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
Article
Automation & Control Systems
Pengyu Zeng, Feiqi Deng, Xiaobin Gao, Xiaohua Liu
Summary: This article investigates event-triggered and self-triggered L∞ control problems for the Markov jump stochastic nonlinear systems subject to denial-of-service attacks. The article proposes a switched model to characterize the effect of DoS attacks and provides sufficient conditions to guarantee L∞ performance. A self-triggering scheme without mathematical expectation is also presented.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Yiwen Qi, Wenke Yu, Jie Huang, Yang Yu
Summary: This article investigates output tracking control for switched systems by utilizing an adaptive stay interval based event-triggering scheme. Limited communication and computation resources are taken into consideration, and an event-triggering scheme based on stay interval is adopted. To enhance the adjustment capability of network communication, an adaptive stay interval is introduced, which can be altered according to the system's performance. A class of tracking controllers, equipped with error integral terms, are utilized to enhance the accuracy of the switched systems' tracking performance. A closed-loop switched systems are then modeled, consisting of system state and tracking error, and a set of sufficient conditions for achieving the desired output tracking performance are provided. The controller gains and event-triggering parameters are obtained using linear matrix inequalities. Various scenarios are thoroughly analyzed to ensure system performance discussion integrity, considering the inclusivity of variable stay interval, triggering instants, and switching instants. Simulation examples are presented to display the feasibility of the proposed approach.
OPTIMAL CONTROL APPLICATIONS & METHODS
(2022)
Article
Automation & Control Systems
Jun Fu, Yiwen Qi, Ning Xing, Yuzhe Li
Summary: This paper proposes a new switching law and a resilient adaptive event-triggering strategy (RA-ETS) to mitigate the negative impacts of attacks and asynchronous switching in networked control systems. The new switching law converts asynchronous switching to expected and unexpected synchronous switchings, and RA-ETS is designed to prevent useless data triggering and adaptively adjust the triggering frequency. The effectiveness of the proposed approach is demonstrated through numerical simulation.
Article
Automation & Control Systems
Yiwen Qi, Xiujuan Zhao, Jun Fu, Pengyu Zeng, Wenke Yu
Summary: This article investigates stabilization problems of networked event-triggered switched systems under multiasynchronous switching. An adaptive event-triggering scheme with switching structure is utilized to achieve better adjustment in triggering frequency, and a systematic framework is established for analyzing multiasynchronous switching stability and solving controller gains. New tight bound conditions on average dwell time are constructed, and an active packet loss approach is presented for handling packet disorder issues caused by large transmission delays.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Automation & Control Systems
Yiwen Qi, Shuo Yuan, Ben Niu
Summary: This article addresses the problem of asynchronous event-triggered control for switched Takagi-Sugeno (T-S) fuzzy systems under data injection attacks. The proposed periodic sampling-based adaptive event-triggering schemes with switching structure dynamically adjust triggered conditions based on system performance. The resulting criterion ensures that the closed-loop system subject to data injection attacks is exponential stability with an $H_{infinity}$ performance, and also presents a set of conditions for the co-design of controllers and adaptive event-triggering schemes.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Automation & Control Systems
Yiwen Qi, Wenke Yu, Choon Ki Ahn
Summary: This paper investigates event-triggered model predictive security control for switched systems under dual-channel denial of service attacks. A structure including network control loop and local control loop is implemented to ensure network transmission security. A permissible type-switching strategy is proposed to coordinate the work sequence of optimized controllers and guaranteed controllers. Resilient dual-adaptive event-triggering schemes are proposed to save network resources and reduce the impacts of data-packet loss caused by DoS attacks.
Article
Automation & Control Systems
Zhaohui Yao, Yiwen Tang, Shuo Yuan, Yiwen Qi
Summary: This paper proposes a fuzzy fault detection filter for switched Takagi-Sugeno (T-S) fuzzy systems against deception attacks. The filter utilizes switched event-triggering schemes and nonsynchronous premise variables to efficiently detect system faults and handle communication delays. By utilizing a model transformation technique, switched fuzzy residual systems are developed. The resulting criterion ensures that these systems are mean-square exponentially stable with an H1 performance under deception attacks. The co-design conditions for the fuzzy filter and event-triggering schemes are provided.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2023)
Article
Mathematics, Applied
Yiwen Qi, Ziyu Qu, Zhaohui Yao, Xiujuan Zhao, Yiwen Tang
Summary: This paper focuses on the issue of event-triggered iterative learning control for switched systems with asynchronous switching. The main technical contribution lies in the analysis and synthesis in both time and iteration domains. A Lyapunov function involving both directions is adopted to solve the asynchronous switching problem and the update problem. A new proof method is proposed to prove the convergence of tracking error and system stability in both domains. The feasibility of the theoretical result is verified through simulation.
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
Computer Science, Information Systems
Yiwen Qi, Xiujuan Zhao, Choon Ki Ahn
Summary: In this article, dual-domain triggered iterative learning control (ILC) is proposed for networked switched systems against denial-of-service (DoS) attacks. Different from existing research on ILC, which focuses only on updating between iterations, the proposed method performs updates both between iterations and on the time scale, reducing iteration steps and network data transmission frequency. The system output is transmitted via a vulnerable network in each iteration, and attack detection and buffer-based compensation mechanisms are proposed. The boundedness of the iterative tracking error of the networked switched systems is ensured through switching stability analysis based on the Lyapunov theory. The advantages of the proposed methods are substantiated by a simulation example consisting of three parts.
IEEE SYSTEMS JOURNAL
(2023)
Article
Automation & Control Systems
Yiwen Qi, Honglin Geng
Summary: This paper investigates an event-triggered pinning optimal consensus control method for switched multi-agent systems (SMAS) using switched adaptive dynamic programming (ADP). The contributions of this work are twofold. Firstly, a switched local value function (SLVF) and a minimum error switching law are constructed to optimize control performance and ensure consensus. An algorithm of switched ADP policy iteration is proposed based on SLVF, and its convergence and optimality are proved. Secondly, a pinning strategy is developed to guide the setting of the ADP controller, reducing control resource waste. A new condition is constructed to determine the minimum number of controlled vertices for the SMAS. The effectiveness of the proposed method is verified through a numerical example.
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2023)
Article
Automation & Control Systems
Yiwen Qi, Simeng Zhang, Choon Ki Ahn
Summary: This study investigates the active disturbance rejection control (ADRC) for networked switched systems (NSSs) with decentralized event-triggered communication, considering uncertainty and disturbance. It proposes a comprehensive analysis and synthesis method for the ADRC of NSSs, with the contributions of a novel parameter-dependent switching constraint and triggering the output of LESO instead of its input. Stability analysis and state convergence region calculations are also given, and simulation demonstrates the effectiveness of the proposed method.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Yiwen Qi, Honglin Geng, Ning Xing, Jie Huang, Yanwei Huang
Summary: This article proposes a switched adaptive dynamic programming (ADP) predictive control method to address the decrease of real-time property of the dataset in networked switched systems (NSS) under denial of service (DoS) attacks and delays. An event-triggered mechanism is designed to reduce unnecessary waste of network transmission resources, and a predictive mechanism is designed to accurately reconstruct the missing system state and switching signal under DoS network attacks. The reconstructed data are then used to train actor and critic neural networks to approximate the optimal control policy and performance index function (PIF) of the NSS, respectively. Furthermore, the iterative convergence of the switched ADP algorithm is proved. Finally, a numerical example is provided to verify the effectiveness of the proposed method.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Computer Science, Information Systems
Yiwen Qi, Honglin Geng, Ning Xing
Summary: In this study, we use the adaptive dynamic programming (ADP) approach and a resilient event-triggering mechanism to handle optimal control problems for a switched system that is constrained by network resources and vulnerable to denial-of-service (DoS) attacks. The proposed approach ensures satisfactory system performance even during intermittent data transmission interruptions. We develop a method for updating the neural network (NN) weights of ADP in response to triggered events and experienced attacks. The system switching law is designed to lower computational cost and mitigate attack influences by utilizing a cost function to reduce unnecessary switching. The effectiveness of the proposed method is verified through a numerical example.
IEEE SYSTEMS JOURNAL
(2023)
Article
Engineering, Aerospace
Zhaohui Yao, Yiwen Qi, Wen Bao, Tianhong Zhang
Summary: A high-precision variable-thrust control method based on real-time measurement of pintle displacement and closed-loop feedback control is proposed to solve the technical problems of deep throttling variable-thrust regulation and control of pintle liquid rocket engines (LRE). The proposed system can provide important technical support for carrier rocket recycling and launch cost reduction.
