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Science China(Information Sciences) 2022年第3期65卷 138-151页

作者： Xiaoting DU Lei ZOU Zhongyi ZHAO Yezheng WANG Maiying ZHONG College of Electrical Engineering and Automation Shandong University of Science and Technology Department of Computer Science Brunel University London

This paper investigates the unknown-input-observer-based fault estimation problem for a class of discrete-time-delay Markovian jump systems under the dynamic event-triggered transmission scheme. The dynamic event-triggered mechanism is used to decide whether the current information should be transmitted to the estimator or not to save the limited communication resources. This study aims to design an event-based fault estimator such that the estimation error is exponentially ultimately bounded in the mean square sense.By adopting the Lyapunov-Krasovskii functional approach, sufficient conditions are obtained to guarantee the existence of the desired estimator to achieve the prescribed performance requirement. The estimator gains are derived based on the convex optimization technique. A numerical example is provided to illustrate the effectiveness of the developed estimator design scheme.

关键词： fault estimation unknown input observer Markovian jump systems dynamic event-triggered mechanism time-varying delays

Design of unknown input observer with H_∞ performance for linear time-delay systems

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Journal of Systems Engineering and Electronics 2006年第3期17卷 606-610页

作者： Fu Yanming Wu Di Zhang Peng Duan Guangren Center for Control Theory and Guidance Technology Harbin Inst. of Technology Harbin 150001 P. R. China

A unknown input observer （UIO） design for a class of linear time-delay systems when the observer error can＇t completely decouple from unknown input is dealt with. A sufficient condition to its existence is presented based on Lyapunov stability method. Design problem of the proposed observer is formulated in term of linear matrix inequalities. Two design problems of the observer with internal delay and without internal delay are formulated. Based on H∞ control theory in time-delay systems, the proposed observer is designed in term of linear matrix inequalities （LMI）. A design algorithm is proposed. The effective of the proposed approach is illustrated by a numerical example.

关键词： unknown input observer time-delay systems linear matrix inequalities.

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Nonlinear unknown input observer using mean value theorem and genetic algorithm

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International Journal of Modeling, Simulation, and Scientific Computing 2019年第2期10卷 42-63页

作者： Ramzi Ben Messaoud Laboratoire de Nanomateriaux et des Systemes Pour les Energies Renouvelables Centre de Recherches et des Technologies de l’Energie BP.95 Hammam Lif 2050Tunisia

In this note,we consider a new unknown input observer design for nonlinear systems.The main idea consists in determining the estimation error and mean value theorem parameters(β)to introduce them into proposed observer structure.This process is designed on the basis of mean value theorem and genetic algorithm.The stability study relies on the use of a classical quadratic Lyapunov function.The observer’s gains are determined systematically.For the validation of theoretical development proposed in this paper,we consider two practical realizations that deals with the secure communication problem.

关键词： Genetic algorithm unknown input observer nonlinear system mean value theorem state estimation

Set-Membership Filtering Approach to Dynamic Event-Triggered Fault Estimation for a Class of Nonlinear Time-Varying Complex Networks

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IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 638-648页

作者： Xiaoting Du Lei Zou Maiying Zhong the College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China IEEE the College of Information Science and Technology Donghua UniversityShanghai 201620 the Engineering Research Center of Digitalized Textile and Fashion Technology Ministry of EducationShanghai 201620China

The present study addresses the problem of fault estimation for a specific class of nonlinear time-varying complex networks,utilizing an unknown-input-observer approach within the framework of dynamic event-triggered mechanism(DETM).In order to optimize communication resource utilization,the DETM is employed to determine whether the current measurement data should be transmitted to the estimator or not.To guarantee a satisfactory estimation performance for the fault signal,an unknown-input-observer-based estimator is constructed to decouple the estimation error dynamics from the influence of fault signals.The aim of this paper is to find the suitable estimator parameters under the effects of DETM such that both the state estimates and fault estimates are confined within two sets of closed ellipsoid domains.The techniques of recursive matrix inequality are applied to derive sufficient conditions for the existence of the desired estimator,ensuring that the specified performance requirements are met under certain conditions.Then,the estimator gains are derived by minimizing the ellipsoid domain in the sense of trace and a recursive estimator parameter design algorithm is then provided.Finally,a numerical example is conducted to demonstrate the effectiveness of the designed estimator.

关键词： Dynamic event-triggered mechanism(DETM) fault estimation nonlinear time-varying complex networks set-member-ship filtering unknown input observer

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unknown input observer Based Fault Class Isolation and Estimation

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Unknown Input Observer Based Fault Class Isolation and Estim...

第二十九届中国控制会议

作者： WANG Zhi Computer Science and Engineering College,Xi''an Technological University,Xi''an 710032,P.R.China

The advance of observer-based fault diagnosis is outlined and the idea of fault class isolation（FCI）is introduced and studied.According to the requirements of some missile actuator test,a new scheme to implement FCI and fault estimation between motor and sensor is proposed based on unknown input observer（UIO）,whose procedure completes in three steps.Firstly,the open loop model from motor to sensor is constructed and its parameters are estimated via least squares principle.Secondly,the design procedure of the UIO is deduced and elaborated,and two principles for FCI and fault estimation between motor and sensor are presented.Finally,wavelet filtered is introduced and studied so as to de-noise the estimated faults.Simulation demonstrated that the scheme could effectivelyisolate constant fault（s）as well as sudden fault（s）between motor and sensor while the fault（s）could be estimated precisely.The study indicates that the presented scheme is feasible and appropriate for actuator fault diagnosis.

关键词： Actuator unknown input observer Fault Diagnosis Fault Class Isolation Fault Estimation Wavelet De-noising

Fault Detection and Isolation Based on unknown input Set-membership observer

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Fault Detection and Isolation Based on Unknown Input Set-mem...

第三十九届中国控制会议

作者： Xiaomin Fan Wei Zhang Xiaohang Li Laboratory of Intelligent Control and Robotics Shanghai University of Engineering Science

This paper proposes an actuator fault diagnosis method for a class of discrete-time linear dynamic systems subject to unknown but bounded disturbances and noises. The proposed unknown input observer has a new structure and the actuator faults of the system are taken as unknown inputs that provides more robust and more design degrees of freedom. A direct method based on zonotopes is used to estimate the threshold of residual generated by the unknown input observer. Based on the proposed method, a fault detection and isolation strategy using a set of unknown input set-membership observers are presented. The effectiveness of the proposed method is verified by numerical simulation of a flight control system.

关键词： unknown input observer set-membership estimation zonotope fault estimation and isolation

Cyber Attack Detection and Isolation for Smart Grids via unknown input observer

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Cyber Attack Detection and Isolation for Smart Grids via Unk...

第37届中国控制会议

作者： Yating Li Jianjin Li Xiaoyuan Luo Xinyu Wang Xinping Guan School of Electrical Engineering Yanshan University School of Electrical Engineering Shandong Huayu University of Technology School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University

This paper studies the detection and isolation problem against False Data Injection Attack（FDIA） for distributed smart grids, by using the designed unknown input observer（UIO）. Firstly, a simple but classical mathematics model of distributed smart grid is introduced. Considering the covert of FDIA, the unknown input observer is designed for detecting and isolating cyber attack in smart grids. Then, considering the disturbance and uncertainty of grid system model, the adaptive thresholds are computed for detecting the cyber attack. Furthermore, UIO-based attack detection and isolation Algorithm is proposed, by computing the observed residuals. Finally, simulations are given to illustrate the effectiveness of the proposed algorithm.

关键词： Distributed grid system false data injection attack unknown input observer

Robust fault estimation for switched systems based on unknown input observer approach

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Robust fault estimation for switched systems based on unknow...

第36届中国控制会议

作者： Dongsheng Du Shengyuan Xu Faculty of Automation Huaiyin Institute of Technology School of Automation Nanjing University of Science and Technology

ISBN: (纸本)9781538629185

This paper considers the problem of robust fault estimation for discrete-time switched system.Firstly,an augmented system is constructed such that the fault as part of the state.Then an unknown input observer（UIO） is employed to estimate the state of the augmented system.Based on the switched Lyapunov function and the generalized Kalman-Yakubovic-Popov（KYP）lemma,a finite-frequency UlO-based fault estimation observer is designed.Finally,the proposed technique is illustrated by a numerical example.

关键词： fault estimation finite frequency domain switched system unknown input observer

Oscillatory failure case detection in the missile Actuators electrical flight control system by adaptive unknown input observer

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Oscillatory failure case detection in the missile Actuators ...

第30届中国控制与决策会议

作者： Siting Peng Hong Jiang Pianpian Zuo Xiwang Dong Qingdong Li Ren Zhang School of Automation Science and Electrical Engineering Beihang University

This paper focuses on failure detection in the electrical flight control system of the missile actuator, especially the particular case of oscillatory failure. The structure and function characteristics of circular equidistance type missile actuator was studied thoroughly, the main feature and consequences of these failures are analyzed and an approach of adaptive unknown input observer（UIO） based on the multi-model control theory is used to detect and isolate the missile actuator faults. The observers are constructed based on a modified form of the standard UIO to generate fault-dependent residual signals, such that when a model matches the system, the residual signal will be zero. Otherwise, the residual will be definitely non-zero and governed uniquely by the faulty signal. The simulation results shows that the approach is satisfactory and overcomes the drawback of the nonlinear actuator model.

关键词： missile attitude control actuator failure detection and isolation unknown input observer

Detection and Estimation of False Data Injection Attacks for Load Frequency Control Systems

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Journal of Modern Power Systems and Clean Energy 2022年第4期10卷 861-870页

作者： Jun Ye Xiang Yu Hangzhou Innovation Institute Beihang UniversityHangzhouChina School of Automation Science and Electrical Engineering Beihang UniversityBeijingChina

False data injection attacks(FDIAs)against the load frequency control(LFC)system can lead to unstable operation of power systems.In this paper,the problems of detecting and estimating the FDIAs for the LFC system in the presence of external disturbances are investigated.First,the LFC system model with FDIAs against frequency and tie-line power measurements is established.Then,a design procedure for the unknown input observer(UIO)is presented and the residual signal is generated to detect the FDIAs.The UIO is designed to decouple the effect of the unknown external disturbance on the residual signal.After that,an attack estimation method based on a robust adaptive observer(RAO)is proposed to estimate the state and the FDIAs simultaneously.In order to improve the performance of attack estimation,the H¥technique is employed to minimize the effect of external disturbance on estimation errors,and the uniform boundedness of the state and attack estimation errors is proven using Lyapunov stability theory.Finally,a two-area interconnected power system is simulated to demonstrate the effectiveness of the proposed attack detection and estimation algorithms.

关键词： External disturbance false data injection attacks load frequency control robust adaptive observer unknown input observer

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