Augmented hybrid method for continuous process identification from sampled data with coloured noise

DOI10.1080/00207178708933976zbMath0623.93075OpenAlexW1967931609WikidataQ126246179 ScholiaQ126246179MaRDI QIDQ3762206

Yung-Cheng Chao, Chen-Liang Chen, Hsiao-Ping Huang

Publication date: 1987

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207178708933976

zbMATH Keywords

identificationcontinuous-timeaugmented hybrid parametric methodcoloured output noiselinear continuous-time modelmultivariable dynamic systemsampled input-output observations

Mathematics Subject Classification ID

Related Items (3)

Comments on ‘Stability of an entire polytope of polynomials’ ⋮ Identification of MIMO continuous-time models by indirect methods ⋮ Recursive identification algorithms for continuous systems using an adaptive procedure

Cites Work

• Unnamed Item
• Maximum likelihood and prediction error methods
• Discrete-continuous model conversion
• More on the conversion problem of discrete-continuous models
• Identification in automatic control systems
• System identification. A survey
• Estimation of continuous-time MIMO linear dynamic models from sampled data by hybrid parametrization
• Refined instrumental variable methods of recursive time-series analysis Part III. Extensions
• Identification of continuous-time multivariable systems from sampled data†
• On criterion selection and noise model parametrization for prediction-error identification methods

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