Generalized binary noise test-signal concept for improved identification- experiment design

DOI10.1016/0005-1098(90)90156-CzbMath0716.93055OpenAlexW1996928089MaRDI QIDQ753769

Herbert J. A. F. Tulleken

Publication date: 1990

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0005-1098(90)90156-c

zbMATH Keywords

parameter estimationbinary noise test-signal conceptoptimal experiment design

Mathematics Subject Classification ID

Optimal statistical designs (62K05) Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12)

Related Items (5)

Optimal input design using generalized binary sequence ⋮ Nonparametric identification based on Gaussian process regression for distributed parameter systems ⋮ Recursive identification of time-varying systems via incremental estimation ⋮ Grey-box modelling and identification using physical knowledge and Bayesian techniques ⋮ Input design for linear dynamic systems using maxmin criteria

Cites Work

• Analysis of the identification of closed-loop systems using least-squares methods
• Design variables for bias distribution in transfer function estimation
• Derivation of the Moments of a Continuous Stochastic System
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