High-order multivariable transfer function curve fitting: Algorithms, sparse matrix methods and experimental results

DOI10.1016/0005-1098(94)90009-4zbMath0925.93146OpenAlexW2078411489MaRDI QIDQ1337729

David S. Bayard

Publication date: 8 November 1999

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0005-1098(94)90009-4

Mathematics Subject Classification ID

System identification (93B30)

Related Items

Frequency domain curve fitting: a generalized? approach ⋮ Multivariable frequency-response curve fitting with application to control-relevant parameter estimation ⋮ Data-dependent orthogonal polynomials on generalized circles: a unified approach applied to \(\delta \)-domain identification ⋮ Subspace-based identification of infinite-dimensional multivariable systems from frequency-response data ⋮ Optimally conditioned instrumental variable approach for frequency-domain system identification ⋮ A frequency-domain iterative identification algorithm using general orthogonal basis functions ⋮ Discussion on: ``Multivariable control of noise in an acoustic duct ⋮ Identification for control: from the early achievements to the revival of experiment design ⋮ 8 Vector fitting ⋮ Multivariable frequency-response curve fitting with application to modal parameter estimation ⋮ Frequency domain control-relevant identification of MIMO AMB rigid rotor

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• A class of algorithms for identification in \(\mathcal H_{\infty}\)
• Statistical plant set estimation using Schroeder-phased multisinusoidal input design
• Asymptotic behaviour of transfer function synthesis methods
• Improved finite word length characteristics in digital control using delta operators
• Identification of Multi-Input Multi-Output Linear Systems From Frequency Response Data