It has been proven that advanced building control, like model predictive control (MPC), can
notably reduce the energy use and mitigate greenhouse gas emissions. However, despite …

An internal combustion engine (ICE) is a highly nonlinear dynamic and complex
engineering system whose operation is constrained by operational limits, including …

This article describes new features and enhanced algorithms made available in version 5.0
of the SCIP Optimization Suite. In its central component, the constraint integer programming …

This paper presents a unified optimization-based path planning approach to efficiently
compute locally optimal solutions to optimal path planning problems in unstructured …

Recent advances in theory, algorithms, and computational power make it possible to solve
complex, optimal control problems both for off-line and on-line industrial applications. This …

We present a control approach for autonomous vehicles based on deep reinforcement
learning. A neural network agent is trained to map its estimated state to acceleration and …

Organic Rankine cycle (ORC) systems are a class of distributed power-generation systems
that are suitable for the efficient conversion of low-to-medium temperature thermal energy to …

A system optimization of ORCs cooled by air-cooled condensers or wet cooling towers and
powered by low-temperature geothermal heat sources is performed in this paper. The …

The promotion of electric mobility is considered a counterreaction to climate change and is
therefore subsidized by various countries. The possibility of charging individual electric …

This study considers the problem of computing a non-causal minimum-fuel energy
management strategy for a hybrid electric vehicle on a given driving cycle. Specifically, we …