Yueyang Li

Unbiased Minimum Variance Fault and State Estimation for Linear Discrete Time-Varying Two-Dimensional Systems

The fault and state estimation problem is addressed for a class of linear discrete time-varying two-dimensional systems subject to state and measurement noises. Two estimators are proposed to compute the estimation of the system state and/or fault recursively, both of which are unbiased with minimum variance. Through formulating the estimation problem as the solvability problem of the corresponding matrix equations of estimator gains and system constraint, the necessary and sufficient condition of the existence and the solution for the proposed estimators are given. An example is used to demonstrate the effectiveness of the proposed estimators.

H∞ Fault Estimation for 2-D Linear Discrete Time-Varying Systems Based on Krein Space Method

This paper addresses the finite horizon <inline-formula> <tex-math notation=LaTeX>

Fault Detection for Linear Discrete Time-Varying Systems Subject to Random Sensor Delay: A Riccati Equation Approach

{H_infty }

State estimation for stochastic discrete-time systems with multiplicative noises and unknown inputs over fading channels

</tex-math></inline-formula> fault estimation problem for 2-D linear discrete time-varying systems with bounded unknown input and measurement noise. The main contribution of this paper is the <inline-formula> <tex-math notation=LaTeX>

Optimal residual generation for fault detection in linear discrete time-varying systems with uncertain observations

{H_infty }

Krein-space based robust H∞ fault estimation for two-dimensional uncertain linear discrete time-varying systems

</tex-math></inline-formula> fault estimator for 2-D systems with a necessary and sufficient existence condition. By introducing a partially equivalent stochastic dynamic system in Krein space, the necessary and sufficient condition for the existence of the <inline-formula> <tex-math notation=LaTeX>

Real-time accurate pedestrian tracking using extended finite impulse response filter bank for tightly coupling recent inertial navigation system and ultra-wideband measurements:

{H_infty }

H∞ fault detection filter design for discrete-time nonlinear Markovian jump systems with missing measurements

</tex-math></inline-formula> fault estimator is derived based on innovation analysis and projection formula in Krein space. Then, the solution of the estimator is achieved by means of a Riccati-like difference equation for 2-D systems. Finally, a thermal process example is given to demonstrate the effectiveness of the proposed method.

Active compliance control of the hydraulic actuated leg prototype

This paper mainly studies the fault detection (FD) problem for linear discrete time-varying systems subject to random sensor delay. By assuming that the measurement channel is with Transmission Control Protocol (TCP), an observer-based FD filter (FDF) is provided as a residual generator via embedding the packet indicator into the filter. To construct this FDF, its design issue is formulated into two sub-problems. One is to maximize the <inline-formula> <tex-math notation=LaTeX>

Fault Diagnosis of Linear Discrete Time-Varying System with Multiplicative Noise Based on Parity Space Method

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