On closed-loop system identification using polyspectral analysis given noisy input-output time-domain data

DOI10.1016/S0005-1098(00)00104-7zbMATH Open0981.93076OpenAlexW2064961986MaRDI QIDQ5926184

Jitendra K. Tugnait, Yi Zhou

Publication date: 1 March 2002

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0005-1098(00)00104-7

zbMATH Keywords

identificationclosed-loop systemstatistical properties

Mathematics Subject Classification ID

Order statistics; empirical distribution functions (62G30) Identification in stochastic control theory (93E12)

Cites Work

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• Identification of closed-loop systems with low-order controllers
• On covariance function tests used in system identification
• Identification of stochastic linear systems in presence of input noise
• Closed-loop identification revisited
• Frequency-domain system identification using non-parametric noise models estimated from a small number of data sets
• Subspace algorithms for the identification of multivariable dynamic errors-in-variables models
• Identification of linear systems using input-output cumulants
• Recovering the poles from third-order cumulants of system output
• Control-relevant prefiltering: a systematic design approach and case study
• Identification for the control of MIMO industrial processes
• Identification of linear systems with noisy input using input-output cumulants
• Identification of multivariable stochastic linear systems via polyspectral analysis given noisy input-output time-domain data
• Identification of linear systems via spectral analysis given time-domain data: consistency, reduced-order approximation, and performance analysis
• Frequency-domain identification of linear systems using arbitrary excitations and a nonparametric noise model
• Identification of a class of dynamic errors‐in‐variables models
• Polyspectral and cyclostationary approaches for identification of closed-loop systems
• Stochastic system identification with noisy input-output measurements using polyspectra
• A Simplex Method for Function Minimization

Related Items (2)

Stochastic system identification with noisy input-output measurements using polyspectra ⋮ Closed-Loop System Identification Using Quantized Observations and Integrated Bispectra

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