This paper introduces theoretical conditions for the computation of a novel type of state-
feedback controller that makes use of Linear Parameter Varying approaches for synthesis …

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 …

Wind turbine power generation is becoming one of the most critical renewable energy
sources. As wind power grows, there is a need for better monitoring and diagnostic …

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 concerns the dynamic event-triggered gain-scheduling control of discrete-time
nonlinear systems represented by quasi-linear parameter-varying (quasi-LPV) models. A …

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

Nowadays, reducing energy consumption is the fastest way to reduce the use of fossil fuels
and, therefore, greenhouse gas emissions. Heating, Ventilation, and Air Conditioning …

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 …

In this paper, we present the design of a new unknown-input observer for Takagi–Sugeno
fuzzy systems with unmeasurable premise variables. The work proposes an improvement of …