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fault estimation for a Class of Markov Jump Piecewise-Affine Systems: Current Feedback Based Iterative Learning Approach

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 418-429页

作者： Yanzheng Zhu Nuo Xu Fen Wu Xinkai Chen Donghua Zhou IEEE College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China College of Mechanical Engineering and Automation Huaqiao UniversityXiamen 361021China Department of Mechanical and Aerospace Engineering North Carolina State UniversityRaleigh NC 27695 USA Department of Electronic and Information Systems Shibaura Institute of TechnologySaitama 337-8570Japan

In this paper, the issues of stochastic stability analysis and fault estimation are investigated for a class of continuoustime Markov jump piecewise-affine(PWA) systems against actuator and sensor faults. Firstly, a novel mode-dependent PWA iterative learning observer with current feedback is designed to estimate the system states and faults, simultaneously, which contains both the previous iteration information and the current feedback mechanism. The auxiliary feedback channel optimizes the response speed of the observer, therefore the estimation error would converge to zero rapidly. Then, sufficient conditions for stochastic stability with guaranteed performance are demonstrated for the estimation error system, and the equivalence relations between the system information and the estimated information can be established via iterative accumulating ***, two illustrative examples containing a class of tunnel diode circuit systems are presented to fully demonstrate the effectiveness and superiority of the proposed iterative learning observer with current feedback.

关键词： Current feedback fault estimation iterative learning observer Markov jump piecewise-affine system

fault estimation based on high order iterative learning scheme for systems subject to nonlinear uncertainties

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Science China(Information Sciences) 2022年第7期65卷 261-262页

作者： Li FENG Shuiqing XU Ke ZHANG Yi CHAI Darong HUANG College of Traffic and Transportation Chongqing Jiaotong University College of Electrical Engineering and Automation Hefei University of Technology College of Automation Chongqing University

Dear editor, Due to the high load and continuous work, some equipment such as sensors and actuators in the system will inevitably degrade as the aging time increases. Also, they may evolve into faults causing the decline of system control performance. However, the stability of the system cannot be guaranteed due to the large loss of property and casualties caused by faults. Therefore, fault diagnosis and faulttolerant control [1, 2] are widely applied in the industrial system to solve these problems.

关键词： fault estimation High order iterative learning scheme Nonlinear system Nonlinear uncertainties Iterative learning control

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 *** 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 *** 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 *** 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 ***,the estimator gains are derived by minimizing the ellipsoid domain in the sense of trace and a recursive estimator parameter design algorithm is then ***,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

Unknown-input-observer-based approach to dynamic event-triggered fault estimation for Markovian jump systems with time-varying delays

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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 *** 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

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fault estimation with Biased Process Noise Covariances 36

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Fault Estimation with Biased Process Noise Covariances

Integrated fault estimation and fault-tolerant control for a flexible regional aircraft

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作者： Ye Zhao Xiao He Donghua Zhou Department of Automation TNListTsinghua University College of Electrical Engineering and Automation Shandong University of Science and Technology

ISBN: (纸本)9781538629185

fault estimation with performance analysis is investigated in the least squares sense for a class of time-varying systems with event-triggered measurement transmission and biased process noise *** most other work,process noise covariance is assumed as either completely *** this paper,we relax the assumption of knowing the exact process noise covariance and apply an event-triggered strategy when considering the measurement output transmission to remote estimator.A filter is designed in order to achieve the minimization on the upper bound of the filtering error covariance with event-triggered measurement transmission and biased process noise *** desired filter parameters are calculated recursively with the least squares method,which is suitable for online *** is found that the deviation of filtering error covariance is dependent on the deviation of process noise covariance with the performance of the proposed filter with biased process noise covariance further analyzed.A numerical simulation is utilized to illustrate the effectiveness of the proposed algorithm.

关键词： fault estimation biased process noise filter design performance analysis

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Chinese Journal of Aeronautics 2022年第3期35卷 390-399页

作者： Yishi LIU Sheng HONG Enrico ZIO Jianwei LIU School of Cyber Science and Technology Beihang UniversityBeijing 100191China School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China Department of Energy Politecnico di MilanoMilano 20133Italy MINES ParisTech PSL Research UniversityCRCSophia Antipolis 06904France Eminent Scholar Department of Nuclear EngineeringCollege of EngineeringKyung Hee UniversitySeoul 02447South Korea

The article focuses on the design and application of an active reconfigurable controller that mitigates the effects of gust load and actuator faults on a flexible aircraft.A novel integrated adaptive output feedback scheme is investigated to address the actuator *** real-time fault values provided by the fault estimation module are considered in the reconfigurable control law to improve the fault-tolerant *** estimate values of faults and control gains are calculated by analyzing the stability of the overall *** proposed controller is simulated using a flexible aircraft model with a discrete‘1-cosine’gust,and the results show that it can effectively mitigate the wing root moments and recover the flight maneuver stability after the aircraft suffered from gusts.

关键词： Adaptive control fault estimation fault-tolerant control Flexible aircraft Gust load Integrated strategy

An Ellipsoidal Set-Membership Approach to Distributed Joint State and Sensor fault estimation of Autonomous Ground Vehicles

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IEEE/CAA Journal of Automatica Sinica 2021年第6期8卷 1107-1118页

作者： Eman Mousavinejad Xiaohua Ge Senior Member Qing-Long Han Teng Joon Lim Ljubo Vlacic School of Electrical and Information Engineering The University of SydneySydneyNSW 2006Australia School of Engineering and Built Environment Griffith UniversityGold CoastQLD 4222Australia chool of Software and Electrical Engineering Swinburne University of TechnologyMelbourneVIC 3122Australia

This paper is concerned with the problem of distributed joint state and sensor fault estimation for autonomous ground vehicles subject to unknown-but-bounded(UBB)external disturbance and measurement *** order to improve the estimation reliability and performance in cases of poor data collection and potential communication interruption,a multisensor network configuration is presented to cooperatively measure the vehicular yaw rate,and further compute local state and fault *** this aim,an augmented descriptor vehicle model is first established,where the unknown sensor fault is modeled as an auxiliary state of the system ***,a new distributed ellipsoidal set-membership estimation approach is developed so as to construct an optimized bounding ellipsoidal set which guarantees to contain the vehicle’s true state and the sensor fault at each time step despite the existence of UBB disturbance and measurement ***,a convex optimization algorithm is put forward such that the gain matrix of each distributed estimator can be recursively ***,simulation results are provided to validate the effectiveness of the proposed approach.

关键词： Autonomous ground vehicle(AGV) distributed setmembership estimation fault estimation sensor networks vehicle lateral dynamics

H _ index based fault estimation for micro quad-rotor

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Journal of Systems Engineering and Electronics 2014年第3期25卷 483-488页

作者： Pu Yang Zhixia Yin Bin Jiang School of Automation Nanjing University of Aeronautics and Astronautics Flight Test Center of Commercial Aircraft Corporation of China Limited

Taking the attitude control system of micro quad-rotor as a research object, a design scheme of fault estimator based on generalized Kalman-Yakubovic-Popov （GKYP） lemma is put forward to deal with the problem of estimating multiple actuators malfunctions with couplings. Using an H_index and an appropriate algorithm, the goal of weakening the coupling can be achieved by limiting the fault frequency to a certain range, then different kinds of actuator faults can be estimated correctly. The simulations demonstrate the reliability and validity of the proposed method.

关键词： micro quad-rotor fault estimation generalized Kalman-Yakubovic-Popov (GKYP) lemma.

A novel two-stage extended Kalman filter algorithm for reaction flywheels fault estimation

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Chinese Journal of Aeronautics 2016年第2期29卷 462-469页

作者： Chen Xueqin Sun Rui Jiang Wancheng Jia Qingxian Zhang Jinxiu Research Center of Satellite Technology Harbin Institute of Technology School of Aeronautics and Astronautics Shanghai Jiao Tong University

This paper investigates the problem of two-stage extended Kalman filter （TSEKF）-based fault estimation for reaction flywheels in satellite attitude control systems （ACSs）. Firstly, based on the separate-bias principle, a satellite ACSs with actuator fault is transformed into an augmented nonlinear discrete stochastic model; then, a novel TSEKF is suggested such that it can simultane- ously estimate satellite attitude information and actuator faults no matter they are additive or mul- tiplicative; finally, the proposed approach is respectively applied to estimating bias faults and loss of effectiveness for reaction flywheels in satellite ACSs, and simulation results demonstrate the effec- tiveness of the proposed fault estimation approach.

关键词： fault estimation Reaction flywheels Satellite attitude control sys-tems Separate-bias principle Two-stage extended Kalmanfilter