Multi-agent model predictive control for transportation networks with continuous and discrete elements

For several reasons, control of transportation networks like road traffic networks, power transmission networks, water distribution networks, etc. has to be done using a multi-agent control approach. We consider a multi-agent control approach in which each control agent uses Model Predictive Control (MPC) to determine its actions. Each control...

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...

Multi-Agent Model Predictive Control of Transportation Networks

We consider multi-agent, or distributed, control of transportation networks, like traffic, water, and power networks. These networks typically have a large geographical span, modular structure, and a large number of components that require control. We discuss the necessity of a multi-agent control setting in which multiple agents control parts...

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...

Optimal coordination of variable speed limits to suppress shock waves

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.

Experience-based model predictive control using reinforcement learning

Model predictive control (MPC) is becoming an increasingly popular method to select actions for controlling dynamic systems. TraditionallyMPC uses a model of the system to be controlled and a performance function to characterize the desired behavior of the system. The MPC agent finds actions over a finite horizon that lead the system into a...

Decision support in dynamic traffic management

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...

Hydrogen measuring probe for coal gasification processes. Discussion

Fundamental aspects of appropriate technology: Proceedings of the international workshop on appropriate technology, Delft University of Technology, Center for Appropriate Technology, September 4-7, 1979