Several schemes have been proposed so far for coupling desalination processes with the
use of renewable energy. One of their main drawbacks, however, is the nature of the energy …

In this work, a novel model predictive control (MPC) scheme is introduced, by integrating
direct and indirect neural control methodologies. The proposed approach makes use of a …

This work describes and evaluates a new nonlinear dynamic model, and a new generalized
predictive control scheme for a collector field of direct steam generation parabolic troughs in …

This work presents a new switching control procedure that has been chosen to deal with the
changes in plant dynamics. Several control systems composed of IMC-based PID controllers …

This paper is concerned with the problem of adaptive neural control for a class of uncertain
or ill-defined nonaffine nonlinear systems. Using a self-organizing radial basis function …

The problem of maximum power point tracking (MPPT) is addressed for photovoltaic (PV)
arrays considered in a given panel position. The PV system includes a PV panel, a PWM …

This paper aims at the proposition of novel architectures for radial basis function neural
networks implementation on hardware with custom-precision floating-point operations for …

This article presents the theoretical and experimental performance of a Solar Cavity
Receiver (SCR) which operates under controlled conditions of radiation and flow regulation …

The exact output regulation problem for Takagi‐Sugeno (TS) fuzzy models, designed from
linear local subsystems, may have a solution if input matrices are the same for every local …

A nonlinear black box structure represented by an affine three-layered state-space neural
network with exogenous inputs is considered for nonlinear systems identification. Global …