On an approach to the estimation of the state-variable descriptive parameters for linear continuous-time models

DOI10.1080/02331939508844078zbMath0821.93032OpenAlexW2071935221MaRDI QIDQ4836768

Nguyen Ngoc san

Publication date: 21 June 1995

Published in: Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331939508844078

zbMATH Keywords

identificationrobustnessparameter estimationisometrymodel reductionstate-optimization

Mathematics Subject Classification ID

Controllability (93B05) System identification (93B30) Observability (93B07) System structure simplification (93B11)

Cites Work

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• A Riccati equation approach to the stabilization of uncertain linear systems
• A new set of invariants for linear systems--Application to reduced order compensator design
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• Robust reduced-order modeling via the optimal projection equations with Peterson-Hollot bounds
• Cost decomposition of linear systems with application to model reduction
• Principal component analysis in linear systems: Controllability, observability, and model reduction
• Input-error approach to parameter estimation of alinear,e-invariant, continuous-time model in state-variable description
• The matrix minimum principle

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