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Analytical Approximate Load Control in WCDMA Radio Networks
 In Proc. VTC2005
, 2005
"... Snapshotbased MonteCarlo simulation is a common tool to evaluate the performance of WCDMA radio networks. An efficient method (power control at cell level) is known to compute cell transmit and received powers for a snapshot. The approach is valid in case all users can be served by the network. I ..."
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Snapshotbased MonteCarlo simulation is a common tool to evaluate the performance of WCDMA radio networks. An efficient method (power control at cell level) is known to compute cell transmit and received powers for a snapshot. The approach is valid in case all users can be served by the network. If this does not hold or if the resulting cell powers exceed their limits, then some users have to be removed/dropped. The power computation has then to be repeated until a valid combination of serviceable users is found. We propose mathematical schemes to simultaneously compute the approximate transmit and received powers as well as the serviceable traffic. We show how to use these approximations for efficient load control on a snapshot. Extensive computational results are presented.
MPC for discreteevent systems with soft and hard synchronisation constraints
 INTERNATIONAL JOURNAL OF CONTROL
, 2003
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DYNAMIC RAILWAY NETWORK MANAGEMENT USING SWITCHING MAXPLUSLINEAR MODELS
"... Dynamic railway network management using switching maxpluslinear models ∗ T.J.J. van den Boom and B. De Schutter If you want to cite this report, please use the following reference instead: T.J.J. van den Boom and B. De Schutter, “Dynamic railway network management using switching maxpluslinear ..."
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Dynamic railway network management using switching maxpluslinear models ∗ T.J.J. van den Boom and B. De Schutter If you want to cite this report, please use the following reference instead: T.J.J. van den Boom and B. De Schutter, “Dynamic railway network management using switching maxpluslinear models, ” Proceedings of the 11th IFAC
Optimal input signal design for identification of maxpluslinear systems
 In Proceedings of the 2003 European Control Conference (ECC’03
, 2003
"... Optimal input signal design for identification of maxpluslinear systems ∗ G. Schullerus, V. Krebs, B. De Schutter, and T. van den Boom If you want to cite this report, please use the following reference instead: ..."
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Optimal input signal design for identification of maxpluslinear systems ∗ G. Schullerus, V. Krebs, B. De Schutter, and T. van den Boom If you want to cite this report, please use the following reference instead:
Connection and Speed Control in Railway Systems – A Model Predictive Control Approach
"... Connection and speed control in railway systems – A model predictive control approach ∗ B. De Schutter and T.J.J. van den Boom If you want to cite this report, please use the following reference instead: B. De Schutter and T.J.J. van den Boom, “Connection and speed control in railway systems – A mod ..."
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Connection and speed control in railway systems – A model predictive control approach ∗ B. De Schutter and T.J.J. van den Boom If you want to cite this report, please use the following reference instead: B. De Schutter and T.J.J. van den Boom, “Connection and speed control in railway systems – A model predictive control approach, ” Proceedings of the 6th
Control Systems Engineering
, 2002
"... Technology All rights reserved. No part of the publication may be reproduced in any form by print, photoprint, microfilm or any other means without written permission from the publisher. Contents 1 ..."
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Technology All rights reserved. No part of the publication may be reproduced in any form by print, photoprint, microfilm or any other means without written permission from the publisher. Contents 1
railway network management
"... On a model predictive control algorithm for dynamic railway network management ∗ T.J.J. van den Boom and B. De Schutter If you want to cite this report, please use the following reference instead: T.J.J. van den Boom and B. De Schutter, “On a model predictive control algorithm for dynamic railway ne ..."
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On a model predictive control algorithm for dynamic railway network management ∗ T.J.J. van den Boom and B. De Schutter If you want to cite this report, please use the following reference instead: T.J.J. van den Boom and B. De Schutter, “On a model predictive control algorithm for dynamic railway network management, ” Proceedings of the 2nd
OPTIMAL INPUT SIGNAL DESIGN FOR IDENTIFICATION OF MAX–PLUS–LINEAR SYSTEMS
"... model predictive control, discrete event systems. The present contribution addresses the problem of designing an adequate persistent excitation for state space identification of max–plus–linear systems. The persistent excitation is designed using the same techniques that have recently been developed ..."
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model predictive control, discrete event systems. The present contribution addresses the problem of designing an adequate persistent excitation for state space identification of max–plus–linear systems. The persistent excitation is designed using the same techniques that have recently been developed for model predictive control for max–plus–linear systems. The application of this method for input signal design allows to incorporate additional objectives which are desirable for the input signals and the resulting process behaviour such that an optimal persistent excitation is obtained. 1