Some properties of the output error method
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Publication:1159646
DOI10.1016/0005-1098(82)90031-0zbMath0474.93068OpenAlexW2137213244MaRDI QIDQ1159646
Petre Stoica, Torsten Söderström
Publication date: 1982
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0005-1098(82)90031-0
identificationconvergence analysisparameter estimationaccuracyprediction error methodquasilinearization algorithmoutput error methodsufficient conditions for a unique local minimum
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Cites Work
- Unnamed Item
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- Unnamed Item
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- A theoretical analysis of recursive identification methods
- Recursive output error identification algorithms theory and evaluation
- Comparison of some instrumental variable methods - consistency and accuracy aspects
- Local and global identification and strong consistency in time series models
- Fast projection methods for minimal design problems in linear system theory
- On the uniqueness of maximum likelihood identification
- Optimal instrumental variable multistep algorithms for estimation of the AR parameters of an ARMA process
- Uniqueness of the maximum likelihood estimates of the parameters of an ARMA model
- Consistency of Least-Squares Estimates Used in Linear Systems Identification
- Unbiased recursive identification using model reference adaptive techniques
- On positive real transfer functions and the convergence of some recursive schemes
- Analysis of recursive stochastic algorithms
- Convergence analysis of parametric identification methods
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