A fairly general class of nonlinear plants can be modeled as fuzzy systems, ie, as a time-
varying convex combination of “vertex” linear systems. As many linear LMI control results …

Despite the enormous benefit that has accrued to society from control technology and the
continued vitality of control science as a research field, there is broad consensus that the …

A Linear Time Invariant (LTI) energy-maximising control strategy for Wave Energy
Converters (WECs) is proposed in this paper. Using the fundamental requirement of …

In this paper, the conceptualization of a control hardware architecture aimed to the
implementation of integer-and fractional-order identification and control algorithms is …

The main goal of estimating models for industrial applications is to guarantee the cheapest
system identification. The requirements for the identification experiment should not be …

Featured Application Growing requirements for efficiency and environmental protection force
the use of more and more advanced methods of industrial process control. Identification of …

The efficient development of embedded controllers for Cyber-Physical Systems (CPS) is
under unprecedented pressure, driven by an upsurge of markets combining the Internet of …

Recent noise at work regulations in the EU (2003) have been established to prevent noise
induced hearing loss (NIHL). This imposes better performance results to traditional feedback …

A practical problem for control engineers is the selection of the most adequate model of a
physical plant in order to design a controller which should achieve a desired performance …

This paper focuses on the joint estimation of parameters and time-delays of the multiple-
input single-output output-error systems. Since the time-delays are unknown, an effective …