The article presents a state-space based Fault Diagnosis (FD) method for discrete-time, affine Linear Parameter Varying (LPV) systems. The goal of the technical note is to develop a robust and dynamic inversion based technique for systems with parameter varying representations when an additive, exogenous disturbance signal perturbs the system. After applying geometric concepts for explicit fault inversion, a robust strategy is proposed to attenuate the effect of the unknown disturbance input signal on the fault estimation error. The proposed robust observer is derived as a solution of off-line Linear Matrix Inequality (LMI) conditions. The technical note demonstrates the viability of the novel methodology through a numerical example
Copyright © 2013 John Wiley & Sons, Ltd. This is the peer reviewed version of the following article:...
Discrete-time system inversion for perfect tracking goes at the expense of intersample behavior. The...
As modern control systems and engineering processes become increasingly more complex and integrated...
The article presents a state-space based Fault Diagnosis (FD) method for discrete-time, affine Linea...
Estimating and detecting faults is crucial in ensuring safe and efficient automated systems. In the ...
This paper presents a fault detection approach for discrete-time affine linear parameter varying sys...
Journal ArticleCopyright © 2012 Elsevier. NOTICE: this is the author’s version of a work that was a...
In this paper, a novel discrete-time estimator is proposed, which is employed for simultaneous estim...
Estimating and detecting faults is crucial in ensuring safe and efficient automated systems. In the ...
International audienceThis paper proposes a robust state and fault estimation (SFE) method for discr...
This is the final version. Available on open access from Elsevier via the DOI in this recordThis pap...
International audienceThis work is devoted to fault estimation of discrete-time Linear Parameter-Var...
A linear parameter varying sliding mode fault reconstruction scheme is proposed. Compared with other...
A new fault detection and prognostics (FDP) framework is introduced for uncertain nonlinear discrete...
The paper presents a robust fault estimation approach for a class of nonlinear discrete-time systems...
Copyright © 2013 John Wiley & Sons, Ltd. This is the peer reviewed version of the following article:...
Discrete-time system inversion for perfect tracking goes at the expense of intersample behavior. The...
As modern control systems and engineering processes become increasingly more complex and integrated...
The article presents a state-space based Fault Diagnosis (FD) method for discrete-time, affine Linea...
Estimating and detecting faults is crucial in ensuring safe and efficient automated systems. In the ...
This paper presents a fault detection approach for discrete-time affine linear parameter varying sys...
Journal ArticleCopyright © 2012 Elsevier. NOTICE: this is the author’s version of a work that was a...
In this paper, a novel discrete-time estimator is proposed, which is employed for simultaneous estim...
Estimating and detecting faults is crucial in ensuring safe and efficient automated systems. In the ...
International audienceThis paper proposes a robust state and fault estimation (SFE) method for discr...
This is the final version. Available on open access from Elsevier via the DOI in this recordThis pap...
International audienceThis work is devoted to fault estimation of discrete-time Linear Parameter-Var...
A linear parameter varying sliding mode fault reconstruction scheme is proposed. Compared with other...
A new fault detection and prognostics (FDP) framework is introduced for uncertain nonlinear discrete...
The paper presents a robust fault estimation approach for a class of nonlinear discrete-time systems...
Copyright © 2013 John Wiley & Sons, Ltd. This is the peer reviewed version of the following article:...
Discrete-time system inversion for perfect tracking goes at the expense of intersample behavior. The...
As modern control systems and engineering processes become increasingly more complex and integrated...