This survey of model-based fault diagnosis focuses on those methods that are applicable to
aerospace systems. To highlight the characteristics of aerospace models, generic non-linear …

This technical note proposes a novel set-membership state estimation approach based on
zonotopes for discrete-time descriptor linear parameter-varying systems. The consistency …

In this article, a novel set-membership state estimation method based on zonotopes is
proposed for switched systems subject to unknown-but-bounded disturbance with average …

This study considers the problem of interval estimation for event-triggered 2-D systems in
Fornasini–Marchesini local state-space (FMLSS) model. In such systems, the general …

We consider continuous-time systems with input, output and additive disturbances in the
particular case where the measurements are only available at discrete instants and have …

Diagnosis is the process of identifying or determining the nature and root cause of a failure,
problem, or disease from the symptoms resulting from selected measurements, checks or …

This paper presents a discretize-then-relax method to construct convex/concave bounds for
the solutions of a wide class of parametric nonlinear ODEs. The algorithm builds upon …

In most biological studies and processes, cell proliferation and population dynamics play an
essential role. Due to this ubiquity, a multitude of mathematical models has been developed …

We consider continuous-time linear systems with additive disturbances and discrete-time
measurements. First, we construct an observer, which converges to the state trajectory of the …

We present an improvement of existing methods for globally solving optimal experimental
design (OED) for bounded-error estimation based on a bilevel formulation from Mukkala et …