Behavioural modelling using the MOESP algorithm, dynamic neural networks and the Bartels-Stewart algorithm

DOI10.1016/j.apnum.2007.11.013zbMath1170.93318OpenAlexW2129864095MaRDI QIDQ952804

B. E. Eshmatov

Publication date: 14 November 2008

Published in: Applied Numerical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apnum.2007.11.013

zbMATH Keywords

eigenvaluesBartels-Stewart algorithmdynamic neural networksstate space representationmodel order reduction

Mathematics Subject Classification ID

System identification (93B30) System structure simplification (93B11) Circuits, networks (94C99) Linear ordinary differential equations and systems (34A30)

Related Items (1)

A 5-instant finite difference formula to find discrete time-varying generalized matrix inverses, matrix inverses, and scalar reciprocals

Uses Software

• Algorithm 432

Cites Work

• Subspace model identification Part 3. Analysis of the ordinary output-error state-space model identification algorithm
• Matrix Analysis
• Subspace model identification Part 1. The output-error state-space model identification class of algorithms
• Algorithm 432 [C2: Solution of the matrix equation AX + XB = C [F4]]
• Unnamed Item

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