Robust Fault Detection with Unknown Input Set-Membership State Estimators and Interval Models Using Zonotopes

2007 ◽  
pp. 1234-1239 ◽  
Author(s):  
Pedro Guerra ◽  
Vicenç Puig ◽  
Ari Ingimundarson ◽  
Marcin Witczak
Keyword(s):  
Fault Detection ◽  
Unknown Input ◽  
Robust Fault Detection ◽  
State Estimators ◽  
Set Membership

scholarly journals ROBUST FAULT DETECTION WITH UNKNOWN INPUT SET-MEMBERSHIP STATE ESTIMATORS AND INTERVAL MODELS USING ZONOTOPES

2006 ◽  
Vol 39 (13) ◽  
pp. 1234-1239 ◽  
Author(s):  
Pedro Guerra ◽  
Vicenç Puig ◽  
Ari Ingimundarson ◽  
Marcin Witczak
Keyword(s):  
Fault Detection ◽  
Unknown Input ◽  
Robust Fault Detection ◽  
State Estimators ◽  
Set Membership

ROBUST FAULT DETECTION BASED ON ZONOTOPE-BASED SET-MEMBERSHIP PARAMETER CONSISTENCY TEST

2006 ◽  
Vol 39 (13) ◽  
pp. 1056-1061
Author(s):  
Pedro Guerra ◽  
José Manuel Bravo ◽  
Ari Ingimundarson ◽  
Vicenç Puig ◽  
Teodoro Alamo
Keyword(s):  
Fault Detection ◽  
Consistency Test ◽  
Robust Fault Detection ◽  
Set Membership

Robust Fault Detection for Switched Fuzzy Systems With Unknown Input

2018 ◽  
Vol 48 (11) ◽  
pp. 3056-3066 ◽  
Author(s):  
Jian Han ◽  
Huaguang Zhang ◽  
Yingchun Wang ◽  
Xun Sun
Keyword(s):  
Fault Detection ◽  
Fuzzy Systems ◽  
Unknown Input ◽  
Robust Fault Detection

scholarly journals Robust fault detection of singular LPV systems with multiple time–varying delays

2016 ◽  
Vol 26 (1) ◽  
pp. 45-61 ◽  
Author(s):  
Amir Hossein Hassanabadi ◽  
Masoud Shafiee ◽  
Vicenç Puig
Keyword(s):  
Fault Detection ◽  
Reference Model ◽  
Residual Error ◽  
Unknown Input ◽  
Multiple Time ◽  
Delayed Systems ◽  
Bounded Real Lemma ◽  
Fault Sensitivity ◽  
Robust Fault Detection ◽  
Minimum Sensitivity

Abstract In this paper, the robust fault detection problem for LPV singular delayed systems in the presence of disturbances and actuator faults is considered. For both disturbance decoupling and actuator fault detection, an unknown input observer (UIO) is proposed. The aim is to compute a residual signal which has minimum sensitivity to disturbances while having maximum sensitivity to faults. Robustness to unknown inputs is formulated in the sense of the ℋ∞-norm by means of the bounded real lemma (BRL) for LPV delayed systems. In order to formulate fault sensitivity conditions, a reference model which characterizes the ideal residual behavior in a faulty situation is considered. The residual error with respect to this reference model is computed. Then, the maximization of the residual fault effect is converted to minimization of its effect on the residual error and is addressed by using the BRL. The compromise between the unknown input effect and the fault effect on the residual is translated into a multi-objective optimization problem with some LMI constraints. In order to show the efficiency and applicability of the proposed method, a part of the Barcelona sewer system is considered.

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