Optimization of condition-based asset management using a predictive health model

In this paper, a model predictive framework is used to optimize the operation and maintenance actions of power system equipment based on the predicted health sate of this equipment. In particular, this framework is used to predict the health state of transformers based on their usage. The health state of a transformer is hereby given by the hot...

Using Aspect Orientation in Legacy Environments for Reverse Engineering using Dynamic Analysis: An Industrial Experience Report

Preprint of article published in: Journal of Systems and Software (Elsevier), 82 (4), 2009; doi:10.1016/j.jss.2008.09.031 This paper reports on the challenges of using aspect-oriented programming (AOP) to aid in re-engineering a legacy C application. More specifically, we describe how AOP helps in the important reverse engineering step which...

Challenges for process system engineering in infrastructure operation and control

The need for improving the operation and control of infrastructure systems has created a demand on optimization methods applicable in the area of complex sociotechnical systems operated by a multitude of actors in a setting of decentralized decision making. This paper briefly presents main classes of optimization models applied in PSE system...

Multi-agent model predictive control for transportation networks: Serial versus parallel schemes

We consider the control of large-scale transportation networks, like road traffic networks, power distribution networks, water distribution networks, etc. Control of these networks is often not possible from a single point by a single intelligent control agent; instead control has to be performed using multiple intelligent agents. We consider...

Learning-based model predictive control for Markov decision processes

We propose the use of Model Predictive Control (MPC) for controlling systems described by Markov decision processes. First, we consider a straightforward MPC algorithm for Markov decision processes. Then, we propose value functions, a means to deal with issues arising in conventional MPC, e.g., computational requirements and sub-optimality of...

Multi-Agent Model Predictive Control: A Survey

In this report we define characteristic control design elements and show how conventional single-agent MPC implements these. We survey recent literature on multi-agent MPC and discuss how this literature deals with decomposition, problem assignment, and cooperation.

Fuzzy Decision Support Systemen: Versie 1.3

Rapport in opdracht van het Ministerie van Verkeer en Waterstaat, Adviesdienst Verkeer en Vervoer (AVV). De toenemende complexiteit van de regeltaak vereist de ontwikkeling van geavanceerde methodes voor het ondersteunen van de beheerstaak van operators in verkeerscentrales. Deze ondersteuning beoogt de operator in staat te stellen, het...