A new method to estimate a first-order plus time delay model from step response

DOI10.1016/J.JFRANKLIN.2008.05.004zbMath1298.93339OpenAlexW2088837789MaRDI QIDQ468147

Giuseppe Fedele

Publication date: 6 November 2014

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2008.05.004

zbMATH Keywords

least-squares methodalgebraic identificationfirst-order plus time delay model

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Identification in stochastic control theory (93E12)

Related Items (8)

Least squares based iterative identification for multivariable integrating and unstable processes in closed loop ⋮ Closed-loop identification of stable and unstable processes with time-delay ⋮ Indirect identification of continuous-time delay systems from step responses ⋮ On-line tuning of PI/Lead compensators for decoupling multivariable processes with specifications on phase and bandwidth ⋮ Algebraic identification of a stable first‐order plus time delay model from step response ⋮ Limit cycle-based exact estimation of FOPDT process parameters under input/output disturbances: a state-space approach ⋮ A comparison of software-based approaches to identifying FOPDT and SOPDT model parameters from process step response data ⋮ Frequency Response Estimation from Impulse or Step-like Response by Virtual Experiments

Cites Work

• Unnamed Item
• Instrumental variable methods for system identification
• Real-time estimation of process frequency response and step response from relay feedback experiments
• An algebraic framework for linear identification
• Robust identification of continuous systems with dead-time from step responses

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