This paper presents a new stability analysis method dedicated to a class of fuzzy control
systems (FCSs) controlling multi input-multi output (MIMO) nonlinear processes by means of …

This paper proposes a novel Adaptive Charged System Search (ACSS) algorithm for the
optimal tuning of Takagi–Sugeno proportional–integral fuzzy controllers (T–S PI-FCs). The …

This paper proposes new stability analysis and convergence results applied to the Iterative
Feedback Tuning (IFT) of a class of Takagi–Sugeno–Kang proportional-integral-fuzzy …

We introduce an edge-centric parametric predictive analytics methodology, which
contributes to real-time regression model caching and selective forwarding in the network …

A new coarse and fine tuning fixed grid wavelet network is proposed for online predicting
ship roll motion in regular waves. This wavelet network is composed of discrete wavelet …

In the system identification context, neural networks are black-box models, meaning that
both their parameters and structure need to be determined from data. Their identification is …

The accuracy of classification and regression tasks based on data driven models, such as
Neural Networks or Support Vector Machines, relies to a good extent on selecting proper …

Dynamical systems are universal computers. They can perceive stimuli, remember, learn
from feedback, plan sequences of actions, and coordinate complex behavioural responses …

This work contributes to a real-time, edge-centric inferential modeling and analytics
methodology introducing the fundamental mechanisms for (i) predictive models update and …

Accurate measurements of global solar radiation and atmospheric temperature, as well as
the availability of the predictions of their evolution over time, are important for different areas …