Dynamic horizon selection methodology for model predictive control in buildings
status: published
An MPC-Based Rescheduling Algorithm for Disruptions and Disturbances in Large-Scale Railway Networks
Railways are a well-recognized sustainable transportation mode that helps to satisfy the continuously growing mobility demand. However, the management of railway traffic in large-scale networks is a challenging task, especially when both a major disruption and various disturbances occur simultaneously. We propose an automatic rescheduling algorithm...
Synthèse d'un contrôleur prédictif auto adaptatif réglé par réseau de neurones artificiels
Dans un contexte industriel de recherche d’optimisation des performances des systèmes et de rejet des perturbations, la commande prédictive (MPC) présente plusieurs avantages. Elle requiert, cependant, de se pencher avec attention sur le réglage de ses paramètres qui sont communément : un horizon de prédiction, un horizon de commande et des poids a...
Advances in monitoring and control of refolding kinetics combining PAT and modeling
Published in Applied Microbiology and Biotechnology
Abstract Overexpression of recombinant proteins in Escherichia coli results in misfolded and non-active protein aggregates in the cytoplasm, so-called inclusion bodies (IB). In recent years, a change in the mindset regarding IBs could be observed: IBs are no longer considered an unwanted waste product, but a valid alternative to produce a product w...
Bâtiments éco-énergétiques : modélisation dynamique hybride pour l'analyse et le contrôle
Low cost smart sensors, intelligent controllers, and IoT systems constitute key components to develop smart buildings. These smart systems produce optimal control strategies by continuous analysis of building performance. Two major parameters are controlled in the building: occupants’ comfort and heating or cooling load consumption optimization. Fo...
Optimal control of building energy systems with multiple energy sources using predictive model based control and reinfor...
In this paper the control of building energy systems with multiple energy sources and storages are analysed. The goal is to efficiently coordinate the energy production and energy distribution from different sources in order to minimize the overall energy consumption. Model predictive control (MPC) and reinforcement learning (RL) based control appr...
Energy Optimal Control of a Multivalent Building Energy System using Machine Learning
In this contribution we develop and analyse intelligent control methods in order to optimise the energy efficiency of a modern residential building with multiple renewable energy sources. Because of alternative energy production options a non-convex mixed-integer optimisation problem arises. For the solution we first apply combined optimisation met...
Splitting a Platoon Using Model Predictive Control
When multiple autonomous vehicles drive closelytogether behind each other, it is called a platoon. Platooningprovides several benefits, such as decreased congestion andreduced fuel consumption. In order for more vehicles to takeadvantage of these benefits, the platoon should be able to openup a space for other vehicles to merge into. Thus, our goal...
Model-Based Control Strategy for Autonomous Vehicle Path Tracking Task
Published in Acta Universitatis Sapientiae, Electrical and Mechanical Engineering
Despite the advanced technologies used in recent years, the lack of robust systems still exists. The automated steering system is a critical and complex task in the domain of the autonomous vehicle’s applications. This paper is a part of project that deals with model-based control strategy as one of the most common control strategies. The main obje...
Resilience in energy management system: A study case
This paper describes the process of introducing resilience in an existing controller based on Model Predictive control. The resulting controller called resilient controller aims at improving energy resilience during power outages by maintaining at least a minimum level of energy set by the user. The performances of the so-called resilient controlle...
