Identification of a complex control object with frequency characteristics obtained experimentally with its dynamic neural network model

DOI10.1134/S0005117915040098zbMath1327.93391OpenAlexW2024965229MaRDI QIDQ500121

A. S. Boyarshinova, A. G. Shumikhin

Publication date: 1 October 2015

Published in: Automation and Remote Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s0005117915040098

Mathematics Subject Classification ID

System identification (93B30) Frequency-response methods in control theory (93C80) Identification in stochastic control theory (93E12)

Related Items (1)

Synthesis of invariant nonlinear single-channel sigmoid feedback tracking systems ensuring given tracking accuracy

Cites Work

• Learning algorithms for multilayer neural networks
• Direct recurrence algorithms for solving the linear equations of the method of least squares
• Numerical methods of interval analysis in learning neural network

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