This paper investigates the fixed-lag fault estimator design for linear discrete time-varying (LDTV) systems with intermittent measurements, which is described by a Bernoulli distributed random variable. Through constructing a novel partially equivalent dynamic system, the fault estimator design is converted into a deterministic quadratic minimization problem. By applying the innovation reorganization technique and the projection formula in Krein space, a necessary and sufficient condition is obtained for the existence of the estimator. The parameter matrices of the estimator are derived by recursively solving two standard Riccati equations. An illustrative example is provided to show the effectiveness and applicability of the proposed alg...
This paper is concerned with the event-based state and fault estimation problem for a class of linea...
The present work investigates a fault detection problem using a gain-scheduled filter for discrete-t...
This paper investigates a new event-triggered fault detection methodology for discrete-time dynamic ...
This paper investigates the fixed-lag fault estimator design for linear discrete time-varying (LDTV...
© 2014 Yueyang Li et al. This is an open access article distributed under the Creative Commons Attri...
The fault detection (FD) problem for linear discrete time-varying (LDTV) systems with measurement pa...
Estimating and detecting faults is crucial in ensuring safe and efficient automated systems. In the ...
Estimating and detecting faults is crucial in ensuring safe and efficient automated systems. In the ...
This article deals with the problem of fault detection for discrete-time switched systems with inter...
This paper mainly studies the fault detection (FD) problem for linear discrete time-varying systems ...
This paper deals with the problem of H∞ fault detection for a class of linear discrete time-varying ...
This note is concerned with the problem of parity space-based fault estimation for linear discrete t...
This work deals with the problem of optimal residual generation for fault detection (FD) in linear d...
Developed in the paper, is a systematic design frameworkfor parameter-dependent fault diagnosis, wit...
This brief investigates the $H_{infty }$ fault estimation problem for a class of Lipschitz nonlinear...
This paper is concerned with the event-based state and fault estimation problem for a class of linea...
The present work investigates a fault detection problem using a gain-scheduled filter for discrete-t...
This paper investigates a new event-triggered fault detection methodology for discrete-time dynamic ...
This paper investigates the fixed-lag fault estimator design for linear discrete time-varying (LDTV...
© 2014 Yueyang Li et al. This is an open access article distributed under the Creative Commons Attri...
The fault detection (FD) problem for linear discrete time-varying (LDTV) systems with measurement pa...
Estimating and detecting faults is crucial in ensuring safe and efficient automated systems. In the ...
Estimating and detecting faults is crucial in ensuring safe and efficient automated systems. In the ...
This article deals with the problem of fault detection for discrete-time switched systems with inter...
This paper mainly studies the fault detection (FD) problem for linear discrete time-varying systems ...
This paper deals with the problem of H∞ fault detection for a class of linear discrete time-varying ...
This note is concerned with the problem of parity space-based fault estimation for linear discrete t...
This work deals with the problem of optimal residual generation for fault detection (FD) in linear d...
Developed in the paper, is a systematic design frameworkfor parameter-dependent fault diagnosis, wit...
This brief investigates the $H_{infty }$ fault estimation problem for a class of Lipschitz nonlinear...
This paper is concerned with the event-based state and fault estimation problem for a class of linea...
The present work investigates a fault detection problem using a gain-scheduled filter for discrete-t...
This paper investigates a new event-triggered fault detection methodology for discrete-time dynamic ...