The additive manufacturing process control utilizing digital twins is an emerging issue.
However, robustness in process performance is still an open aspect, due to uncertainties …

This paper proposes a Gaussian mixture model-based (GMM) bearing fault band selection
(GMM-WBBS) method for signal processing. The proposed method benefits reliable feature …

This paper focuses on designing, via the minimization of a suitable cost function, an input
sequence to guarantee active fault diagnosis (AFD) of discrete-time linear parameter …

This paper considers the problem of fault-tolerant control (FTC) and fault reconstruction of
actuator faults for linear parameter varying (LPV) descriptor systems with time delay. A …

This work proposes a proportional-integral fault estimation observer for nonlinear systems
by means of convex structures. Unlike the traditional approaches that consider quadratic …

Three-phase inverters are widely used in grid-connected renewable energy systems. This
paper presents a new control methodology for grid-connected inverters using an adaptive …

This article proposes an approach for the estimation of states, actuator, and sensor faults in
nonlinear systems represented by a polytopic linear parameter varying (LPV) system with …

This paper introduces a novel model-free approach to synthesize virtual sensors for the
estimation of dynamical quantities that are unmeasurable at runtime but are available for …

This article proposes a one‐step ahead robust model predictive control (MPC) for discrete‐
time Lipschitz nonlinear parameter varying (NLPV) systems subject to disturbances. Within …

Considering some unmeasurable states, a fuzzy static output control problem of nonlinear
stochastic systems is discussed in this paper. Based on a modelling approach, a Takagi …