Abstract Linear Parameter-Varying concept has been formulated decades ago for model
linearization and control. This fundamental result of control theory has been used to develop …

This article proposes a real-time implementation of distributed model predictive controllers to
maximize the thermal energy generated by parabolic trough collector fields. For this control …

This paper presents the design and experimental validation of grid-based and Linear
Fractional Transformation (LFT) approaches for the lateral control of autonomous vehicles …

In solar parabolic-trough plants, the use of Model Predictive Control (MPC) increases the
output thermal power. However, MPC has the disadvantage of a high computational …

Parabolic-trough solar collector fields are large-scale systems, so the application of
centralized optimization-based control methods to these systems is often not suitable for real …

Abstract Concentrated Solar Power plants (CSP) have the energy storage capability to
generate electricity when sunlight is scarce. However, due to the highly non-linear dynamics …

Abstract The Classical Model Predictive Control (CMPC) has the drawback of slow response
in complex dynamic systems. In this work, the Fast Model Predictive Control (FMPC), which …

This paper proposes a novel data-based adaptive predictive frequency control method for
multi-area power systems with unknown and time-varying inertia. Firstly, a data-based …

Solar thermal plants have high nonlinearities and non-manipulated energy source which
make their control task a very challenging work. Linear controllers cannot cope with …

In this paper, we propose a learning-based Model Predictive Control (MPC) approach for the
polytopic Linear Parameter-Varying (LPV) systems with inexact scheduling parameters (as …