Nonlinear systems parameter estimation using neural networks: Application to synchronous machines

DOI10.1080/13873950600913787zbMath1127.68078OpenAlexW2016477576MaRDI QIDQ3592330

Tarek Ahmed-Ali, Françoise Lamnabhi-Lagarrigue, Godpromesse Kenné

Publication date: 12 September 2007

Published in: Mathematical and Computer Modelling of Dynamical Systems (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10.1080/13873950600913787

zbMATH Keywords

learning algorithmsradial basis functiontime-varying parametersynchronous machinestate/parameter estimation

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Learning and adaptive systems in artificial intelligence (68T05) Nonlinear systems in control theory (93C10)

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Cites Work

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• Practical identification of NARMAX models using radial basis functions
• Neural networks for nonlinear dynamic system modelling and identification
• Adaptive nonlinear output feedback for transient stabilization and voltage regulation of power generators with unknown parameters
• Robust Identification and Control With Time-varying Parameter Perturbations
• Parameter identification methodologies based on variable structure control

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