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Estimate-Based Adaptive Neural Secure Control for Nonminimum-Phase Nonlinear Systems With Hybrid Attacks via dynamic event-triggered scheme

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IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING 2025年第2期12卷 859-869页

作者： Yang, Meng Zhai, Junyong Southeast Univ Sch Automat Key Lab Measurement & Control CSE Minist Educ Nanjing 210096 Peoples R China

This paper investigates the estimate-based adaptive neural secure control method for nonminimum-phase nonlinear networked control systems (NNCSs) under hybrid attacks via dynamic event-triggered scheme. Hybrid attacks such as denial-of-service (DoS) attacks and false data injection (FDI) attacks are assumed to occur in the sensor-to-controller (STC) channel and controller-to-actuator (CTA) channel. When only the system output is obtained, a sampled-data observer is introduced to estimate unknown system states. In order to improve the utilization of communication bandwidth under DoS attacks, a dynamic event-triggered scheme (DETS) is proposed to save network resources. An event-triggered output feedback controller is designed by utilizing neural network (NN) to approximate FDI signals. Based on the proposed dynamic event-triggered control strategy, the selections of the sampling period and the observer gain are derived to ensure the boundedness of the control systems. At last, the efficiency of the control strategy is verified by a numerical example.

关键词： Artificial neural networks event detection Observers Nonlinear dynamical systems Networked control systems Cyberattack Output feedback Bandwidth Security Denial-of-service attack dynamic event-triggered scheme hybrid attacks neural networks nonminimum-phase nonlinear networked control systems observer

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Design of H∞ Control Strategies With dynamic event-triggered scheme Under Markovian Deception Attacks

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INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS 2024年第10期22卷 3108-3116页

作者： Zhan, Heng Wu, Jie Cheng, Lingli Zhan, Xisheng Yan, Huaicheng Hubei Normal Univ Coll Elect Engn & Automat Huangshi 435002 Peoples R China East China Univ Sci & Technol Coll Informat Sci & Engn Shanghai 200237 Peoples R China

This paper presents a dynamic event-triggered output feedback controller for networked control systems under Markovian deception attacks. A dynamic event-triggered scheme is applied to curtail redundant sensor-to-observer data transfers. Given the prevalence of deception attacks in network signal transmission, these are modeled by a Markov process, and construct an augmented system. Utilizing Lyapunov stability theory, conditions are established for the system's asymptotic stability. Controller gains and event-triggering parameters are derived through the solution of linear matrix inequalities. Simulation results substantiate the controller's effectiveness in countering the impacts of network attacks on the NCSs.

关键词： Deception attacks dynamic event-triggered scheme Markov process networked control systems output feedback control

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Observer-based adaptive sliding-mode control under dynamic event-triggered scheme with actuator and communication faults

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INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL 2023年第15期33卷 9251-9270页

作者： He, Hangfeng Qi, Wenhai Cao, Jinde Cheng, Jun Shi, Kaibo Ningbo Univ Fac Elect Engn & Comp Sci Ningbo 315211 Peoples R China Qufu Normal Univ Sch Engn Rizhao Peoples R China Southeast Univ Sch Math Nanjing Peoples R China Yonsei Univ Yonsei Frontier Lab Seoul South Korea Guangxi Normal Univ Coll Math & Stat Guilin Peoples R China Chengdu Univ Sch Informat Sci & Engn Chengdu Peoples R China

The adaptive technique and sliding-mode algorithm (SMA) for observer-based fault tolerant control is discussed with dynamic event-triggered scheme (DETS) in this article. Both the actuator and communication faults are considered, which implies that the inputs of system and controller are unreliable. Moreover, the switched DETS for controller-actuator channel is proposed to reduce bandwidth usage and actuator action frequency, which is different from the traditional event-triggered strategies. To deal with communication faults, which can be described as packet losses, the closed-loop system is modeled as a stochastic system. The SMA-based observer is designed to estimate system states, which lays the foundation for the design of control algorithm to mitigate the effects of faults and DETS. Then, a novel observer-based adaptive sliding-mode control (SMC) law based on hyperbolic tangent function is proposed to guarantee the stochastic globally uniformly ultimately boundedness and reduce chattering. At last, the proposed DETS and observer-based adaptive SMC law are applied into a robotic arm to illustrate the validity.

关键词： actuator and communication faults dynamic event-triggered scheme observer-based adaptive SMC stochastic system

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Robust H_(∞)state estimation for a class of complex networks with dynamic event-triggered scheme against hybrid attacks

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Chinese Physics B 2022年第2期31卷 269-277页

作者： Yahan Deng Zhongkai Mo Hongqian Lu School of Intelligent Systems Engineering Guangxi City Vocational UniversityChongzuo 532200China

We investigate the dynamic event-triggered state estimation for uncertain complex networks with hybrid delays suffering from both deception attacks and denial-of-service ***,the effects of time-varying delays and finitedistributed delays are considered during data transmission between ***,a dynamic event-triggered scheme(ETS)is introduced to reduce the frequency of data transmission between sensors and ***,by considering the discussed plant,dynamic ETS,state estimator,and hybrid attacks into a unified framework,this framework is transferred into a novel dynamical ***,with the help of Lyapunov stability theory and linear matrix inequality techniques,sufficient condition to ensure that the system is exponentially stable and satisfies H∞performance constraints is obtained,and the design algorithm for estimator gains is ***,two numerical examples verify the effectiveness of the proposed method.

关键词： dynamic event-triggered scheme hybrid attacks complex networks state estimation

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A Local Approach to Distributed H∞-Consensus State Estimation Over Sensor Networks Under Hybrid Attacks: dynamic event-triggered scheme

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IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS 2022年 8卷 556-570页

作者： Han, Fei Wang, Zidong Dong, Hongli Alsaadi, Fuad E. Alharbi, Khalid H. Northeast Petr Univ Artificial Intelligence Energy Res Inst Daqing 163318 Peoples R China Northeast Petr Univ Sanya Offshore Oil & Gas Res Inst Sanya 572025 Peoples R China Northeast Petr Univ Heilongliang Prov Key Lab Networking & Intelligen Daqing 163318 Peoples R China Brunel Univ London Dept Comp Sci Uxbridge UB8 3PH Middx England King Abdulaziz Univ Fac Engn Dept Elect & Comp Engn Jeddah 21589 Saudi Arabia

This paper deals with the distributed H-infinity-consensus state estimation problem for a class of discrete time-varying systems with integral measurements over sensor networks. The addressed target plant has its output modeled as integral measurement so as to account for the interval time taken for sample collection. The signal transmissions between an individual sensor node and its neighboring nodes are first scheduled by a dynamic event-triggered scheme (ETS) for the purpose of energy saving, and such transmissions are further prone to hybrid cyber-attacks (comprising denial-of-service and deception attacks). A distributed estimator is constructed for each node by using the available information from itself and its neighboring nodes such that the estimation error dynamics achieves the prescribed H-infinity-consensus performance in mean square sense. A local performance analysis method is developed to establish sufficient conditions that ensure the existence of the desired distributed estimators, and the corresponding estimator gains are then obtained by solving certain recursive matrix inequalities. The effectiveness of the proposed distributed estimation algorithm is illustrated through extensive simulation studies, where comparative experiments are conducted on time-triggered scheme, static ETS and dynamic ETS.

关键词： Cybersecurity distributed H-infinity-consensus state estimation dynamic event-triggered scheme integral measurements hybrid attacks local performance analysis

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Outlier-resistant distributed fusion filtering for nonlinear discrete-time singular systems under a dynamic event-triggered scheme

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Frontiers of Information Technology & Electronic Engineering 2024年第2期25卷 237-249页

作者： Zhibin HU Jun HU Cai CHEN Hongjian LIU Xiaojian YI Department of Applied Mathematics Harbin University of Science and TechnologyHarbin150080China Heilongjiang Provincial Key Laboratory of Optimization Control and Intelligent Analysis for Complex Systems Harbin University of Science and TechnologyHarbin150080China School of Automation Harbin University of Science and TechnologyHarbin150080China School of Mathematics and Physics Anhui Polytechnic UniversityWuhu241000China School of Mechatronical Engineering Beijing Institute of TechnologyBeijing100081China Yangtze Delta Region Academy of Beijing Institute of Technology Jiaxing314003China Tangshan Research Institute Beijing Institute of TechnologyTangshan063099China

This paper investigates the problem of outlier-resistant distributed fusion filtering(DFF)for a class of multi-sensor nonlinear singular systems(MSNSSs)under a dynamic event-triggered scheme(DETS).To relieve the effect of measurement outliers in data transmission,a self-adaptive saturation function is ***,to further reduce the energy consumption of each sensor node and improve the efficiency of resource utilization,a DETS is adopted to regulate the frequency of data *** the addressed MSNSSs,our purpose is to construct the local outlier-resistant filter under the effects of the measurement outliers and the DETS;the local upper bound(UB)on the filtering error covariance(FEC)is derived by solving the difference equations and minimized by designing proper filter ***,according to the local filters and their UBs,a DFF algorithm is presented in terms of the inverse covariance intersection fusion *** such,the proposed DFF algorithm has the advantages of reducing the frequency of data transmission and the impact of measurement outliers,thereby improving the estimation ***,the uniform boundedness of the filtering error is discussed and a corresponding sufficient condition is ***,the validity of the developed algorithm is checked using a simulation example.

关键词： Distributed fusion filtering Multi-sensor nonlinear singular systems dynamic event-triggered scheme Outlier-resistant filter Uniform boundedness

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Non-fragile asynchronous H∞ estimation for piecewise-homogeneous Markovian jumping neural networks with partly available transition rates: A dynamic event-triggered scheme

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NEUROCOMPUTING 2025年 640卷

作者： Li, Qiang Zhang, Kaisheng Wei, Hanqing Sun, Fanrong Wang, Jinling Anhui Agr Univ Sch Informat & Artificial Intelligence Hefei 230036 Peoples R China Anhui Agr Univ Res Ctr Appl Math Hefei 230036 Peoples R China

This article tackles the non-fragile asynchronous H infinity estimation issue for piecewise-homogeneous Markovian jumping neural networks, in which the concerned transition rates are variable during some intervals but invariant during one interval. Besides, due to existence of random factors, in the invariant part, transition rate information is immeasurable, which leads to piecewise-homogeneous Markov process with partly available transition rates. To reduce communication burden and improve resource utilization, an adoptable dynamic event-triggered strategy is constructed, where Zeno phenomenon can be directly avoided. By utilizing stochastic analysis method, Lyapunov stability theory and some matrix inequality techniques, a number of less conservative mode-delay-dependent conditions are addressed to ensure estimation error system realize globally asymptotically mean-square stable with a specified H infinity disturbance performance index. Moreover, the desired asynchronous estimator matrices can be precisely designed by solving achieved matrix inequalities. Finally, a numerical example with simulations is given to illustrate effectiveness and feasibility of estimation scheme. The special emphasis is that, for the first time, this paper explains that the number of unavailable elements in transition rate matrix has a specific effect on the H infinity disturbance performance index, which expands on many existing relevant results.

关键词： Neural networks Piecewise-homogeneous Markovian jumping Partly available transition rates dynamic event-triggered scheme Asynchronous H infinity estimation

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Finite-time Synchronization of Delayed Semi-Markov Neural Networks with dynamic event-triggered scheme

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INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS 2021年第6期19卷 2297-2308页

作者： Jin, Yujing Qi, Wenhai Zong, Guangdeng Qufu Normal Univ Sch Engn Rizhao 276826 Peoples R China Chengdu Univ Sch Informat Sci & Engn Chengdu 610106 Peoples R China

In this paper, the finite-time synchronization (FTS) of semi-Markov neural networks (S-MNNs) with time-varying delay is presented. According to the Lyapunov stability theory, a mode-dependent Lyapunov-Krasovskii functional (LKF) is constructed. Compared with the traditional static event triggered scheme (ETS), a dynamic ETS is adopted to adjust the amount of data transmission and reduce the network burden. By using the general free-weighting matrix method (F-WMM) to estimate a single integral term, a less conservative conclusion is proposed in standard linear matrix inequalities (LMIs). Finally, under the comparison of the static ETS and the dynamic ETS, a simulation example verifies the superiority of this method.

关键词： dynamic event-triggered scheme finite-time synchronization Lyapunov-Krasovskii functional semi-Markov neural networks

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Dissipative consensus for two-time-scale semi-Markov jump multi-agent systems against false data injection attacks via a dynamic event-triggered scheme

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NONLINEAR ANALYSIS-HYBRID SYSTEMS 2023年 50卷

作者： Zhang, Guanzheng Li, Feng Wang, Jing Shen, Hao Anhui Univ Technol Sch Elect & Informat Engn Maanshan 243002 Peoples R China

This paper investigates the dynamic event-triggered dissipative consensus for two-time-scale semi-Markov jump multi-agent systems with external disturbances and false data injection attacks. Two-time-scale semi-Markov jump models are established to describe the two-time-scale phenomenon and the abrupt change of system parameters. Moreover, a dynamic event-triggered scheme in which the threshold parameter can be adjusted appropriately with the state fluctuations is adopted to reduce unnecessary data transmission and make more rational use of limited network resources. Some sufficient conditions rely on the Lyapunov analysis method are developed to ensure the (Q, S, R)-dissipative consensus can be achieved. eventually, a numerical example is presented to corroborate the effectiveness of the obtained theoretical results. (c) 2023 Elsevier Ltd. All rights reserved.

关键词： Dissipative consensus Semi-Markov jump multi-agent systems Two-time-scale systems dynamic event-triggered scheme False data injection attacks

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H_∞ Control for Nonlinear Switched Systems with Mixed Time-Varying Delays Based on dynamic event-triggered scheme and Average Dwell Time Method 40

<i>H</i><sub>∞</sub> Control for Nonlinear Switched Systems...

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40th Chinese Control Conference (CCC)

作者： Zhao, Xinyu Han, Jingjing Chen, Hao Zhang, Zhenzhen Zhong, Shouming Southwest Minzu Univ Div Int Cooperat & Exchange Chengdu 610041 Peoples R China Southwest Minzu Univ Coll Elect Engn Key Lab Elect Informat State Ethn Affairs Commiss Chengdu 610041 Peoples R China Univ Elect Sci & Technol China Sch Math Sci Chengdu 611731 Peoples R China

ISBN: (纸本)9789881563804

This paper is concerned with the dynamic event-triggered H infinity control problem on nonlinear switched systems with mixed time-varying delays and external disturbance. Firstly, a novel dynamic event-triggered scheme is applied to effectively reduce the number of the signal transmission and relieve the transmission load. Secondly, by utilizing the Lyapunov functional approach and average dwell time method, some sufficient conditions for the H infinity performance of the nonlinear delayed switched systems with exogenous disturbance are derived. Furtheremore, the dynamic state-feedback controller gains are obtained. Lastly, a simulation example is given to demonstrate the feasibility and effectiveness of the proposed method.

关键词： dynamic event-triggered scheme H-infinity control Mixed time-varying delays Switched systems

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