Using Point Reactor Models and Genetic Algorithms for On-Line Global Xenon Estimation in Nuclear Reactors
Author:
Affiliation:
1. The Ohio State University 206 West 18th Avenue, Columbus, Ohio 43210
2. Polytechnic of Milan Department of Nuclear Engineering, Via Ponzio 3403, 20133 Milan, Italy
3. Studsvik Scandpower, Inc. 504 Shoup Avenue, Suite 201, Idaho Falls, Idaho 83402
Publisher
Informa UK Limited
Subject
Condensed Matter Physics,Nuclear Energy and Engineering,Nuclear and High Energy Physics
Link
https://www.tandfonline.com/doi/pdf/10.13182/NT03-A3414
Reference18 articles.
1. An axial xenon oscillation model
2. Design of a Receding Horizon Control System for Nuclear Reactor Power Distribution
3. Reconstructive Inverse Dynamics Control and Application to Xenon-Induced Power Oscillations in Pressurized Water Reactors
4. Estimation of Neutron Flux and Xenon Distributions via Observer-Based Control Theory
5. Xenon Stability Analysis Using the Generalized Nyquist Criterion
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1. Simulating the dynamics of the neutron flux in a nuclear reactor by locally recurrent neural networks;Annals of Nuclear Energy;2007-06
2. Estimation of Effective Parameters in a Lumped Nuclear Reactor Model Using Multiobjective Genetic Algorithms;Nuclear Science and Engineering;2006-06
3. Optimization of the power ascension path for a boiling water reactor using genetic algorithms;Annals of Nuclear Energy;2006-01
4. Using genetic algorithms for calibrating simplified models of nuclear reactor dynamics;Annals of Nuclear Energy;2004-07
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