This paper presents a new approach for guaranteed state estimation based on zonotopes
for linear discrete-time multivariable systems with interval multiplicative uncertainties, in the …

A dynamic interval approach for the fast computation of robust adaptive thresholds for a
class of uncertain linear systems is the subject of this paper. An extension of recent results …

This paper presents new methods for set-valued state estimation of nonlinear discrete-time
systems with unknown-but-bounded uncertainties. A single time step involves propagating …

This article investigates the fault detection problem of polynomial fuzzy systems with
parameter uncertainty, external disturbance, and measurement noise. Based on the …

In this paper, the problem of identification for passive robust fault detection, when a bounded
description of the modelling uncertainty is considered, is addressed. Two set‐membership …

In this study, a fault detection and diagnosis strategy is proposed for the supervision of
linearly parametrisable, time-invariant systems subject to abrupt parameter variations …

We present a robust fault diagnosis method for uncertain multiple input–multiple output
(MIMO) linear parameter varying (LPV) parity equations. The fault detection methodology is …

This paper proposes novel set-theoretic approaches for recursive state estimation in
bounded-error discrete-time nonlinear systems subject to nonlinear observations/constraints …

This paper presents an adaptive thresholds based fault detection (FD) approach using
preserving order observers for a family of nominal and disturbed nonlinear systems. Based …

This paper deals with the design of guaranteed set-membership fault detection tests based
on a continuous time linear dynamical system with parametric uncertainties. A guaranteed …