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Distributed Fault Estimation for Nonlinear Systems With Sensor Saturation and deception attacks Using Stochastic Communication Protocols

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IEEE/CAA Journal of Automatica Sinica 2024年第8期11卷 1865-1876页

作者： Weiwei Sun Xinci Gao Lusong Ding Xiangyu Chen Institute of Automation Qufu Normal UniversityQufu 273165China

This paper is aimed at the distributed fault estimation issue associated with the potential loss of actuator efficiency for a type of discrete-time nonlinear systems with sensor *** the distributed estimation structure under consideration,an estimation center is not necessary,and the estimator derives its information from itself and neighboring nodes,which fuses the state vector and the measurement *** an effort to cut down data conflicts in communication networks,the stochastic communication protocol(SCP)is employed so that the output signals from sensors can be ***,a recursive security estimator scheme is created since attackers randomly inject malicious signals into the selected *** this basis,sufficient conditions for a fault estimator with less conservatism are presented which ensure an upper bound of the estimation error covariance and the mean-square exponential boundedness of the estimating ***,a numerical example is used to show the reliability and effectiveness of the considered distributed estimation algorithm.

关键词： Actuator fault deception attacks distributed estimation sensor saturation stochastic communication protocol(SCP).

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Memory-based adaptive event-triggered secure control of Markovian jumping neural networks suffering from deception attacks

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Science China(Technological Sciences) 2023年第2期66卷 468-480页

作者： YAO Lan HUANG Xia College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China

In this article,we study the secure control of the Markovian jumping neural networks(MJNNs)subject to deception *** the limitation of the network bandwidth and the impact of the deception attacks,we propose two memory-based adaptive event-trigger mechanisms(AETMs).Different from the available event-trigger mechanisms,these two memory-based AETMs contain the historical triggered data not only in the triggering conditions,but also in the adaptive *** can adjust the data transmission rate adaptively so as to alleviate the impact of deception attacks on the controlled system and to suppress the peak of the system *** view of the proposed memory-based AETMs,a time-dependent Lyapunov functional is constructed to analyze the stability of the error *** sufficient conditions to ensure the asymptotical synchronization of master-slave MJNNs are obtained,and two easy-to-implement co-design algorithms for the feedback gain matrix and the trigger matrix are ***,a numerical example is given to verify the feasibility and superiority of the two memory-based AETMs.

关键词： secure control memory-based adaptive event-trigger mechanism globally asymptotical synchronization deception attacks

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Adaptive event-triggered state estimation for large-scale systems subject to deception attacks

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Science China(Information Sciences) 2022年第2期65卷 139-154页

作者： Hanchen XIAO Derui DING Hongli DONG Guoliang WEI College of Science University of Shanghai for Science and Technology Department of Control Science and Engineering University of Shanghai for Science and Technology School of Software and Electrical Engineering Swinburne University of Technology Institute of Complex Systems and Advanced Control Northeast Petroleum University

This paper addresses state estimation issues of large-scale systems with measurements subject to deception attacks, where the communication topology among sub-estimators is the same as the physical coupling structure of the subsystems. In consideration of the limited channel bandwidth, a novel adaptive event-triggered scheme is proposed for governing the data transmission among sub-estimators. With the help of Lyapunov analysis approaches, sufficient conditions are derived to ensure the input-to-state stability of the dynamics of estimation errors. Meanwhile, the bound of the estimation errors is obtained in the mean-square sense. The desired estimator parameters are presented in an analytical form dependent on the solution of a set of matrix inequalities. The developed scheme is related to the local information of the subsystems and thus satisfies the requirement of scalability. Finally, a simulation example of power systems is given to reveal the usefulness and effectiveness of the developed design scheme.

关键词： large-scale discrete-time systems adaptive event-triggering communication deception attacks input-to-state stability power systems

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Reconstruction of measurements in state estimation strategy against deception attacks for cyber physical systems

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Control Theory and Technology 2018年第1期16卷 1-13页

作者： Qinxue LI Bugong XU Shanbin LI Yonggui LIU Delong CUI School of Automation Science and Engineering South China University of Technology Guangzhou Guangdong 510640 China College of Computer and Electronic Information Guangdong University of Petrochemical Technology Maoming Guangdong 525000 China

Without the known state equation, a new state estimation strategy is designed to be against malicious attacks for cyber physical systems. Inspired by the idea of data reconstruction, the compressive sensing （CS） is applied to reconstruction of residual measurements after the detection and identification scheme based on the Markov graph of the system state, which increases the resilience of state estimation strategy against deception attacks. First, the observability analysis is introduced to decide the triggering time of the measurement reconstruction and the damage level from attacks. In particular, the dictionary learning is proposed to form the over-completed dictionary by K-singular value decomposition （K-SVD）, which is produced adaptively according to the characteristics of the measurement data. In addition, due to the irregularity of residual measurements, a sampling matrix is designed as the measurement matrix. Finally, the simulation experiments are performed on 6-bus power system. Results show that the reconstruction of measurements is completed well by the proposed reconstruction method, and the corresponding effects are better than reconstruction scheme based on the joint dictionary and the traditional Gauss or Bernoulli random matrix respectively. Especially, when only 29% available clean measurements are left, performance of the proposed strategy is still extraordinary, which reflects generality for five kinds of recovery algorithms.

关键词： State estimation deception attacks cyber physical systems reconstruction of measurements compressivesensing

Dynamic event-triggered and guaranteed cost asynchronous control for singular Markov jump systems against deception attacks

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Dynamic event-triggered and guaranteed cost asynchronous con...

第三十九届中国控制会议

作者： Haotian Wang Yanqian Wang School of Information and Control Engineering Qingdao University of Technology

This paper is concerned with the dynamic event-triggered and guaranteed cost asynchronous control problem for singular Markov jump systems（SMJSs） against deception attacks. To reduce the unnecessary data transmission over the network and ensure the security of system, a controller combining dynamic event-triggered scheme（ETS） and deception attacks is proposed. The hidden Markov model（HMM） is utilized to describe asynchronization phenomena between the system modes and the controller modes. The co-design of guranteed cost asynchronous controllers and the dynamic event-triggered scheme is proposed in terms of a group of feasible linear matrix inequalities. The criterion of regular, impulse free and stochastically stable with guranteed cost performance for the closed-loop system is obtained. Finally, a numerical example is given to illustrate the usefulness and effectiveness of the proposed method.

关键词： Singular Markov jump systems Dynamic event-triggered scheme Guaranteed cost control deception attacks Linear matrix inequalities

Distributed filtering for discrete-time systems with deception attacks and limited communication resource

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Distributed filtering for discrete-time systems with decepti...

第37届中国控制会议

作者： Hang Guo Qirui Zhang Kun Liu Yuanqing Xia School of Automation Beijing Institute of Technology

This paper is concerned with the filter design problem for a class of linear networked control systems in the presence of unknown disturbances with distributed sensors subject to randomly occurring deception attacks. The Round-Robin protocol is utilized to regulate the signal transmission between sensors due to limited communication resource. Sufficient conditions are established to ensure the desired performance by applying the discrete-time Wirtinger’s inequality. Furthermore, a corresponding distributed filter is designed to guarantee security. Finally, a numerical example is given to illustrate the effectiveness of the proposed filter design scheme.

关键词： deception attacks Round-Robin protocol distributed filter the Wirtinger’s inequality

Non-fragile H∞ state estimation for event-triggered nonlinear networked systems subject to deception attacks

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Non-fragile H∞ state estimation for event-triggered nonline...

第40届中国控制会议

作者： Lijuan Zha Jinliang Liu Jinde Cao School of Mathematics Southeast University College of Information Engineering Nanjing University of Finance and Economics

This paper investigates the problem of event-triggered H∞ state estimation for nonlinear networked systems subject to deception attacks. Because of the constrained networked communication resources, an event-triggered communication scheme is implemented to deal with this problem. The communication network is assumed to be subject to stochastic deception attacks which aim to replace the normal transmitted data. We firstly establish the estimation error system under the event-triggered communication scheme and the deception attacks. Based on the model, the exponential stability criteria are derived. Moreover, the event-triggering parameter and the state estimator gain are co-designed. Finally, the obtained results are verified by a numerical example.

关键词： state estimation event-triggered communication scheme deception attacks networked systems

H∞ Filtering for Multi-Rate Systems with State Saturation under Periodic Denial-of-Service and deception attacks

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H∞ Filtering for Multi-Rate Systems with State Saturation u...

第43届中国控制会议

作者： Mengdi Chang Weijian Ren Fengcai Huo Chaohai Kang Lu Ren Key Laboratory of Enhanced Oil and Gas Recovery of Ministry of Education Northeast Petroleum University Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control Northeast Petroleum University College of Electrical and Information Engineering Northeast Petroleum University Artificial Intelligence Energy Research Institute Northeast Petroleum University Offshore Oil Engineering Co. Ltd.

In this paper,H filtering problem is investigated for multi-rate networked systems with state saturation suffering both random deception and periodic denial-of-service（DoS） *** multi-rate phenomenon is considered,and the lifting technology is employed to transform the multi-rate system into a single rate *** saturation is characterized by nonlinear inequality *** the periodic cyber attacks,the model is set up which considers two situations consisting of the attack period and the sleeping period,besides,the occurrence of deception attacks is characterized by utilizing a random variable that follows the Bernoulli *** purpose of this paper is to design a H filter which takes into account state saturation as well as hybrid *** condition for reaching both the asymptotic stability and the H performance index of the system is obtained by using Lyapunov stability theory and stochastic analysis *** gain parameters of the filter are calculated through solving a linear matrix ***,a numerical example is provided to demonstrate the efficacy of the filter design approach.

关键词： State saturation multi-rate sampling periodic denial of service attacks deception attacks

Secure Robust Output Feedback Model Predictive Control for Nonlinear System under deception attacks

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Secure Robust Output Feedback Model Predictive Control for N...

第43届中国控制会议

作者： Xin Qi Qing Sun Xiaoqiang Ren School of Mechatronical Engineering and Automation Shanghai University

In this study,an output feedback model predictive control scheme for enhancing the security control of nonlinear system while considering with sensor-controller(S-C) deception attacks. In the concerned system,a distributed robust multivariate observer(DRMO) capable of simultaneously estimate and separate uncompromised system states and attack signals is implemented through a strongly connected undirected sensor network topology. Then,building upon the estimated system state provided by the observer and considering various constraint conditions,a model predictive controller is formulated to ensure secure control of nonlinear system. Finally,illustrative simulation to confirm the effectiveness and efficiency of the proposed control scheme.

关键词： deception attacks Output feedback model predictive control Nonlinear system Distributed robust multivariate observer