Phase portrait approximation using dynamic neural networks

DOI10.1016/S0378-4754(97)00161-4zbMath0930.93025OpenAlexW2087658776MaRDI QIDQ1300481

V. Pereyra

Publication date: 9 February 2000

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0378-4754(97)00161-4

zbMATH Keywords

identificationneural networksnonlinear systemeigenvaluesphase portrait

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) System identification (93B30) Nonlinear systems in control theory (93C10) Eigenvalue problems (93B60)

Cites Work

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• Stable receding horizon control based on recurrent networks
• Dynamic recurrent neural network for system identification and control
• Approximation by superpositions of a sigmoidal function

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