Branimir Novoselnik

TL;DR: The core of acados is written on top of a high-performance linear algebra library, which facilitates maintainability and extensibility, and aims to provide both flexibility and performance through modularity, without the need to rely on automatic code generation.

TL;DR: The acados package as mentioned in this paper is a collection of solvers for fast embedded optimization intended for fast-embedded applications, which is written on top of a high-performance linear algebra library and provides both flexibility and performance through modularity.

TL;DR: In this paper, a nonlinear model predictive control strategy for dynamic reconfiguration of electrical power distribution systems with distributed generation and storage is presented, where the goal is to find the optimal radial network topology and the optimal power references for the controllable generators and energy storage units that will minimize cumulative active power losses.

TL;DR: In this paper, a nonlinear model predictive control algorithm is proposed to find the optimal radial network topology and the optimal power references for the controllable generators and energy storage units to minimize cumulative active power losses while satisfying all system constraints.

TL;DR: In this paper, the influence of fast neutron flux on radiation-induced capacitance changes in heavily irradiated n-type Si has been studied by means of capacitance techniques, and a model that describes changes in the thermally stimulated capacitance as a function of time of irradiation has been proposed.