Motivated by the fact that many nonlinear plants can be represented through Linear
Parameter Varying (LPV) embedding, and being this framework very popular for control …

Based on the extension of the behavioral theory and the Fundamental Lemma for Linear
Parameter-Varying (LPV) systems, this paper introduces a Data-driven Predictive Control …

The control of an automotive suspension system by means of a hydraulic actuator is a
complex nonlinear control problem. In this work, a linear parameter varying (LPV) model is …

Abstract Model Predictive Control (MPC) is an established control framework, based on the
solution of an optimisation problem to determine the (optimal) control action at each discrete …

This paper presents a solution for the Fault-Tolerant Energy Management problem of
renewable energy microgrids. This solution is a Energy Management System (EMS) derived …

The active suspension system of a vehicle manipulated using electro-hydraulic actuators is
a challenging nonlinear control problem. In this research work, a novel Linear Parameter …

This work presents an optimization-based control method for the fault-tolerant energy
management task of an industrial energy microgrid, based on a sugarcane power plant. The …

Temperature control in solar collectors is a nonlinear problem: the dynamics of temperature
rise vary according to the fluid flowing through the collector and to the temperature gradient …

This study proposes an algorithm to enhance the comfort of passengers in a vehicle with
semi‐active suspensions. The vertical dynamics of the car are represented through a quasi …

By means of the linear parameter-varying (LPV) Fundamental Lemma, we derive novel data-
driven predictive control (DPC) methods for LPV systems. In particular, we present output …