Ellipsoid-based parametric estimation in the linear multidimensional systems with uncertain model description

DOI10.1134/S0005117907060070zbMath1142.93308OpenAlexW1965063852MaRDI QIDQ926655

S. A. Nazin, Boris T. Polyak

Publication date: 20 May 2008

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

Full work available at URL: https://doi.org/10.1134/s0005117907060070

zbMATH Keywords

uncertaintysemidefinite programmingparameter identification

Mathematics Subject Classification ID

Semidefinite programming (90C22) Control/observation systems with incomplete information (93C41)

Related Items (2)

Tight computationally efficient approximation of matrix norms with applications ⋮ Identification of regularized models in the linear regression class

Cites Work

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• Matrix Analysis
• Linear Matrix Inequalities in System and Control Theory
• Robust filtering for discrete-time systems with bounded noise and parametric uncertainty
• Interval parameter estimation under model uncertainty
• Multi-input multi-output ellipsoidal state bounding.

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