Guaranteed state estimation computes the set of possible states of dynamical systems given
the bounds of model uncertainties, disturbances, and noises. For the first time, we evaluate …

This article proposes an intervalestimation method for discrete-time Lipschitz nonlinear
systems via observer design and ellipsoidal analysis. A robust observer with novel structure …

This paper presents new methods for set-valued state estimation of discrete-time nonlinear
systems whose trajectories are known to satisfy nonlinear equality constraints, called …

This article is concerned with the attack detection issue for a class of nonlinear cyber–
physical systems (CPSs) with unknown-but-bounded (UBB) noises. The nonlinear system is …

Most existing fault diagnosis techniques for dynamic systems only utilize the original input
and output data of the system, which consequently can be regarded as the passive fault …

In this study, a novel nonlinear zonotopic set-membership estimation (SME) approach is
proposed based on the Koopman operator and the deep neural networks (DNNs). The core …

This tutorial provides a comprehensive perspective on the study of zonotopic filtering for
nonlinear uncertain dynamical systems. Unlike stochastic methods that characterize the …

This note presents a new method for set-based joint state and parameter estimation of
discrete-time systems using constrained zonotopes. This is done by extending previous set …

Artificial neural networks have recently been utilized in many feedback control systems and
introduced new challenges regarding the safety of such systems. This paper considers the …

This paper proposes a set‐membership state estimation method for Switched Linear
Parameter Varying (SLPV) systems subject to unknown but bounded parametric …