Lithium-ion batteries are widely used as power sources in industrial applications.
Electrochemical models and simulations are crucial to disclose many details that cannot be …

Purpose Artificial neural networks are recently developed information processing-based
methods that emerged as unique tools to analyse the behaviour of structures. The present …

Brushless DC motors (BLDCM) are widely used when high precision converters are
required. Model based torque control schemes rely on a precise representation of their …

This research investigates the performance of dynamic modelling using non-parametric
techniques for identification of a flexible structure system for development of active vibration …

A mechatronic approach integrating both passive and active controllers is presented in this
study to deal with unwanted noise and vibration produced in an automobile wiper system …

System identification is a fundamental process in engineering and science that involves
modeling and understanding the behavior of complex systems. This paper provides a …

This paper presents an approach using a multi-objective controller to prevent noise and
vibration generated by the wiper blade during its wi** operation. Firstly, this paper focuses …

In this paper, perturbation signal design for multi-input multi-output (MIMO) systems is
presented for the output error (OE) and the autoregressive with exogenous inputs (ARX) …

The main aim of this paper is to broaden the application's area of artificial intelligence
including fuzzy logic and multiobjective evolutionary algorithm into real-time control area …

This paper presents the fuzzy-PID control of flexibly mounted rigid pipe which undergoes
vortex induced vibration phenomena. The cylinder is allowed to move in one direction which …