Incipient faults almost occur gradually at a low rate in systems and usually are unnoticeable
during their early stages. If diagnostic tools or proper monitoring systems ignore them, they …

This paper proposes a methodology for incipient fault diagnosis and the corresponding
trend prediction in nonlinear closed-loop systems considering stochastic Gaussian and non …

In the Engineering discipline, predictive maintenance techniques play an essential role in
improving system safety and reliability of industrial machines. Due to the adoption of crucial …

This article addresses the reference tracking issue of multi-degree-of-freedom robotic
exoskeletons under exogenous perturbations. First, by considering the concept of iteration …

This paper aims to design a data-driven observer-based model-free adaptive terminal
sliding mode controller for rigid robot manipulators whose models are unknown in advance …

This article considers the fault estimation problem in a data‐driven ℋ∞ H _ ∞ setup for a
class of nonlinear systems called Hammerstein‐Wiener. The fault estimation problem is …

The aim of the present paper is to design a robust and model-free adaptive controller using
a nonlinear fast terminal sliding manifold for discrete-time MIMO nonlinear systems while the …

In this paper, a data-driven multi-input multi-output discrete-time predictive model-free
adaptive integral terminal sliding mode controller is proposed for the robotic manipulators …

Data-driven controllers also called model-free controllers were invented in order to omit
plant modeling step of model-based controllers. Design procedure of these controllers is …

This paper introduces a multi-model approach for the identification of the pumping (water
distribution) system in a two tank process, namely ASTANK2. An improved hill climbing …