On the identifiability of the time delay with least-squares methods

DOI10.1016/0005-1098(95)00172-7zbMath0850.93174OpenAlexW2009749531MaRDI QIDQ1915017

Gianni Ferretti, Claudio Maffezzoni, Riccardo Scattolini

Publication date: 20 November 1996

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0005-1098(95)00172-7

Mathematics Subject Classification ID

System identification (93B30) Frequency-response methods in control theory (93C80) Control problems for functional-differential equations (34K35)

Related Items (9)

Adaptyvusis jungtinis sistemos parametrų ir vėlavimo sekimo metodas;Adaptive joint tracking approach of system parameters and the time delay ⋮ Useful redundancy in parameter and time delay estimation for continuous-time models ⋮ Robust time-domain output error method for identifying continuous-time systems with time delay ⋮ Frequency domain identification of continuous-time output-error models with time-delay from relay feedback tests ⋮ Improved discrete techniques of time-delay and order estimation for large-scale interconnected nonlinear systems ⋮ Parameters identification and synchronization of chaotic delayed systems containing uncertainties and time-varying delay ⋮ Issues in separable identification of continuous-time models with time-delay ⋮ A simple robust method of fractional time-delay estimation for linear dynamic systems ⋮ Tracking coefficients of a nonstationary system, followed by static nonlinearity jointly with the time delay

Cites Work

• On covariance function tests used in system identification
• Self-tuning PI-PID regulators for stable systems with varying delay
• Decoupled delay estimation in the identification of differential delay systems
• Identification of stochastic time lag systems in the presence of colored noise
• On-line estimation of time delay and continuous-time process parameters†
• Adaptive control of plants using all-zero model for dead-time identification
• Identification of linear systems with time-delay operating in a closed loop in the presence of noise
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