Evolving systems unfolds from the interaction and cooperation between systems with
adaptive structures, and recursive methods of machine learning. They construct models and …

The RECCo control algorithm, presented in this article, is based on the fuzzy rule-based
(FRB) system named ANYA which has non-parametric antecedent part. It starts with zero …

This paper suggests an approach to process and model the data obtained in biomonitoring
studies. The approach is validated on data obtained from biomonitoring studies performed in …

We are living in an information age where all our personal data and systems are connected
to the Internet and accessible from more or less anywhere in the world. Such systems can be …

This paper presents an evolving cloud-based algorithm for the recognition of drivers' actions.
The general idea is to detect different manoeuvres by processing the standard signals that …

This paper tackles the problem of model identification for monitoring of non-linear processes
using evolving fuzzy models. To ensure a high production quality and to match the economic …

This paper presents the unification and generalization of different evolving clustering
methods based on Cauchy density. This can be done by introducing different inner matrix …

This paper proposes the African Vultures Optimization Algorithm (AVOA)-based tuning of
low-cost fuzzy controllers for the payload position control of tower crane systems. The fuzzy …

Abstract Relying on the Robust Evolving Cloud-based Control (RECCo) protocol, a
decentralized evolving fuzzy control scheme is presented in this paper for a strongly …

In this paper we propose a performance analysis of the robust evolving cloud-based
controller (RECCo) according to the different initial scenarios. RECCo is a controller based …