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 …

In this work, a novel approach is presented to solve the trajectory tracking problem for
autonomous vehicles. This method is based on the use of a cascade control where the …

This article presents a nonlinear model predictive control (NMPC) approach based on quasi‐
linear parameter varying (quasi‐LPV) representations of the model and constraints. Stability …

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 …

Abstract Organic Rankine Cycle (ORC) stands out in low-grade waste heat recovery (WHR)
technology for its significant performance. Considering the system's coupling dynamics …

This brief presents a velocity-form nonlinear model predictive control (NMPC) scheme via
velocity-based linearization. The main features of this approach are built-in offset-free …

In this study, we are concerned with autonomous driving missions when a static obstacle
blocks a given reference trajectory. To provide a realistic control design, we employ a model …

With the ever increasing power rates of wind turbines, more advanced control techniques
are needed to facilitate tall towers that are low in weight and cost‐effective but in effect more …

The Koopman operator framework allows to embed a nonlinear system into a linear one.
This enables the analysis, estimation, and control of nonlinear dynamics with linear …

Quasi-Linear Parameter Varying (Q-LPV) systems are often obtained as convex
combinations of LTI models and have been widely applied for the control of nonlinear …