L2-optimal identification of MIMO errors-in-variables models from the v-gap geometrical interpretation
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Publication:5745591
DOI10.1080/00207179.2012.668717zbMath1282.93084OpenAlexW2039625075MaRDI QIDQ5745591
Shi-Gang Cui, Lihui Geng, Shengli Lü, Li-Yan Geng
Publication date: 30 January 2014
Published in: International Journal of Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207179.2012.668717
sequential quadratic programming (SQP)\(L_2\)-optimal identificationMIMO errors-in-variablesv-gap geometrical interpretation
Related Items (2)
A convex optimization algorithm for frequency‐domain identification in the v‐gap metric ⋮ An improved computationally efficient identification method for errors-in-variables models based on v-gap optimisation
Cites Work
- Maximum likelihood identification of noisy input-output models
- Frequency domain maximum likelihood estimation of linear dynamic errors-in-variables models
- The set of observationally equivalent errors-in-variables models
- Algorithms for worst case identification in \(\mathcal H_{\infty}\) and in the \(\nu\)-gap metric
- Subspace-based methods for the identification of linear time-invariant systems
- Identification of errors-in-variables systems with ARMA observation noises
- Identifiability of errors in variables dynamic systems
- Third-order cumulants based methods for continuous-time errors-in-variables model identification
- Identification of continuous-time errors-in-variables models
- An improved bias-compensation approach for errors-in-variables model identification
- Frequency domain uncertainty and the graph topology
- Identification of multivariable errors in variable models with dynamics
- Global total least squares modeling of multivariable time series
- A generalized orthonormal basis for linear dynamical systems
- A bias correction method for identification of linear dynamic errors-in-variables models
- Worst-Case Identification of Errors-in-Variables Models in Closed Loop
- Errors-in-variables methods in system identification
- Discrete-time average positivity and spectral factorization in a behavioral framework.
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