This paper presents the acados software package, a collection of solvers for fast embedded
optimization intended for fast embedded applications. Its interfaces to higher-level …

Abstract The Digital Twin (DT) paradigm offers an extension of simulation model utility into
the operational phase of an engineering asset. The goal is a simulation “twinned” with …

Renewable energies have an entirely different cost structure than fossil fuel-based electricity
generation. This is mainly due to the operation at zero marginal cost, whereas for fossil fuel …

Floating offshore wind farm control via real-time turbine repositioning has a potential in
significantly enhancing the wind farm efficiency. Although the wind farm power capture …

Cycle identification via the rainflow‐algorithm is implemented online in a model predictive
controller (MPC) for Li‐ion batteries. This is achieved by externalization of the cycle …

An economic nonlinear model predictive controller (ENMPC) is formulated for a wind turbine-
battery hybrid generation system. The controller aims to maximize the operational profit of …

The formulation of parametric online rainflow counting implements the standard fatigue
estimation process and a stress history in the cost function of a model predictive controller …

In this article, the estimation of fatigue is implemented in the cost function of a gradient‐
based model predictive controller (MPC). This is a challenging problem, because calculating …

This work aims to explore methods to retain the robustness and performance of a wind
turbine controller under different wind conditions. A method of optimizing the control …

This paper presents a model-based prognostics procedure using a zonotopic Kalman filter
in tandem with a zonotopic set-based propagation of degradation, aiding in the …