1,064 research outputs found
Model Predictive Control For Max-Plus-Linear Discrete Event Systems
this report, please use the following reference instead: B. De Schutter and T. van den Boom, \Model predictive control for max-pluslinear discrete event systems," Automatica, vol. 37, no. 7, pp. 1049-1056, July 200
Introduction to the special issue on hierarchical and distributed model predictive control
Prediction and simulation models for intelligent vehicle highway systems - Assessment, development, and calibration
Delft Center for Systems and ControlMechanical, Maritime and Materials Engineerin
Modeling and Control of Switching Max-Plus-Linear Systems: Rescheduling of railway traffic and changing gaits in legged locomotion
The operation of many systems can be described by the timing of events. When the system behavior can be described by equations that are "linear'' in the max-plus algebra, which has maximization and addition as its basic operations, the system is called a max-plus-linear system. In many of these systems the order of the events may need to be changed due to changes in the conditions, or the requirements. Such systems that can change the order of events are called switching max-plus-linear (SMPL) systems. In this thesis we consider two application of SMPL systems. The first application of SMPL systems models the railway traffic networks and is used for on-line rescheduling of railway traffic in the case of delays. In this thesis a macroscopic model for the railway traffic network is presented that can model the effects on the railway traffic of several control actions. For every set of control actions the new event order and times are determined. In order to solve the on-line rescheduling problem for a railway traffic network a global model predictive control (MPC) approach and four distributed model predictive control (DMPC) approaches are proposed. The second type of SMPL system models legged locomotion for different gaits. In this thesis the steady state cyclic behavior of the max-plus-linear systems describing the gaits, and the transition to the steady state cyclic behavior, are analyzed. It is shown that the steady state behavior can be uniquely defined for all gaits. With the steady state behavior uniquely defined for all gaits we were able to determine optimal gait switches.Delft Center for Systems and ControlMechanical, Maritime and Materials Engineerin
Test Bed for Multiagent Control Systems in Road Traffic Management
Test bed for multiagent control systems in road traffic management ∗ R.T. van Katwijk, P. van Koningsbruggen, B. De Schutter, an
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 control schemes in which each agent employs a model-based predictive control approach. Coordination between the agents is used to improve decision making. This coordination can be in the form of parallel or serial schemes. We propose a novel serial coordination scheme based on Lagrange theory and compare this with an existing parallel scheme. Experiments by means of simulations on a particular type of transportation network, viz., an electric power network, illustrate the performance of both schemes. It is shown that the serial scheme has preferable properties compared to the parallel scheme in terms of the convergence speed and the quality of the solution. If you want to cite this report, please use the following reference instead: R.R. Negenborn, B. De Schutter, and J. Hellendoorn, “Multi-agent model predictive control for transportation networks: Serial versus parallel schemes,” Engineering Applications of Artificial Intelligence, vol. 21, no. 3, pp. 353–366, Apr. 2008.Delft Center for Systems and ControlMechanical, Maritime and Materials Engineerin
Model predictive control for ramp metering of motorway traffic: A case study
A real-life motorway in Belgium is studied and a comparison is made between a simulation of a morning rush hour situation without control and a simulation of a morning rush hour situation with ramp metering implemented. Two types of controllers are compared: a traditional ALINEA based controller and a model predictive control based ramp metering controller. In order to evaluate the controllers in a realistic framework, the simulations presented in this paper are based on real-life traffic measurements, and constraints on the maximal allowed queue lengths at the on-ramps are imposed. The presented simulations are indicative for the reduction in the total time spent (on the studied motorway and on the on-ramps) that can be achieved by ramp metering during a typical morning rush hou
Édouard Massaux, Influence de l'Évangile de saint Matthieu sur la littérature chrétienne avant saint Irénée. Réimpression anastatique présentée par F. Neirynck. Supplément : Bibliographie 1950-1985, par B. Dehand-Schutter (coll. Bibliotheca Ephemeridum theologicarum lovaniensium, LXXV). 1986
Ponthot Joseph. Édouard Massaux, Influence de l'Évangile de saint Matthieu sur la littérature chrétienne avant saint Irénée. Réimpression anastatique présentée par F. Neirynck. Supplément : Bibliographie 1950-1985, par B. Dehand-Schutter (coll. Bibliotheca Ephemeridum theologicarum lovaniensium, LXXV). 1986. In: Revue théologique de Louvain, 18ᵉ année, fasc. 3, 1987. pp. 383-384
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-spot temperature of the paper insulation of the transformer and is predicted using the planned loading of the transformer. The actual loading of the transformer is subsequently optimized using these predictions. If you want to cite this report, please use the following reference instead: G. Bajracharya, T. Koltunowicz, R.R. Negenborn, Z. Papp, D. Djairam, B. De Schutter, J. J. Smit. Optimization of condition-based asset management using a predictive health model. In Proceedings of the 16th International Symposium on High Voltage Engineering (ISH 2009), Cape Town, South Africa, August 2009.Electrical Sustainable EnergyElectrical Engineering, Mathematics and Computer Scienc
A multi-class model-based control scheme for reducing congestion and emissions in freeway networks by combining ramp metering and route guidance
The paper proposes a multi-class control scheme for freeway traffic networks. This control scheme combines two control strategies, i.e. ramp metering and route guidance, in order to reduce the total time spent and the total emissions in a balanced way. In particular, the ramp metering and route guidance controllers are feedback predictive controllers, i.e. they compute the control actions not only on the basis of the measured system state, but also on the basis of the prediction of the system evolution, in terms of traffic conditions and traffic emissions. Another important feature of the controllers is that they have a multi-class nature: different classes of vehicles are considered and specific control actions are computed for each class. Since the controllers are based on a set of parameters that need to be tuned, the overall control framework also includes a module to properly determine the gains of the controllers. The simulation analysis reported in the paper shows the effectiveness of the proposed control framework and, in particular, the possibility of implementing control policies that are specific for each vehicle type
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