This paper presents both analysis and comparison of the interval observer–based and set‐membership
approaches for the state estimation and fault detection (FD) in uncertain linear …

This paper addresses the zonotopic observer design for nonlinear systems affected by
uncertainties, ie, state disturbances and measurement noises using Takagi–Sugeno (TS) fuzzy …

Enhancing the sensitivity to faults with respect to disturbances, rather than optimizing the
precision of the state estimation using Kalman Filters (KF) is the subject of this paper. The …

The aim of this paper is to provide a robust Fault Detection and Isolation (FDI) approach that
combines the set-invariance approach with a zonotopic interval observer. The effect of the …

This paper addresses the characterisation of the minimum detectable fault (MDF) by means
of residual sensitivity integrated with the set-invariance theory when using an interval …

This paper addresses the design of reduced-order interval-observers for dynamic systems
with time-invariant uncertainty. Because of the limitations of using the set-based approach to …

This paper considers detectability of deviation of sensors from their nominal behavior for a
class of linear time-invariant discrete-time systems in the presence of bounded additive …

This paper presents the analysis and comparison of interval-observer-based and set-membership
approaches for the state estimation of linear uncertain systems. In both approaches …

This paper addresses the characterization of the minimum detectable fault when using
interval observers. The interval observers consider both input and uncertainty as unknown but …

The aim of this paper is to provide a robust observer design using a Linear Matrix Inequality
(LMI) technique along with the analysis and comparison of the interval observer and set-…