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Modelling the nonlinear dynamic behaviour of a boiler-turbine system using a radial basis function neural network

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Publication:2925120
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DOI10.1002/RNC.2969zbMath1301.93019OpenAlexW1709058781MaRDI QIDQ2925120

A. Namoun, Abdelmalek Kouadri, Mimoun Zelmat

Publication date: 20 October 2014

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rnc.2969


zbMATH Keywords

mathematical modelgeometric parametersRBFNNgenetic algorithm for fast convergenceparametric identification problem for nonlinear and complex systemsthermodynamic constants


Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Application models in control theory (93C95) Control/observation systems governed by ordinary differential equations (93C15)


Related Items (2)

Multivariable optimal control of an industrial nonlinear boiler-turbine unit ⋮ A New Integral Critic Learning for Optimal Tracking Control with Applications to Boiler‐Turbine Systems







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