A novel online adaptive time delay identification technique

DOI10.1080/00207721.2014.941958zbMath1333.93083OpenAlexW2059575041MaRDI QIDQ2798485

Alper Bayrak, Enver Tatlicioglu

Publication date: 12 April 2016

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/11147/4912

zbMATH Keywords

time delaysignal processingadaptive identification

Mathematics Subject Classification ID

System identification (93B30) Adaptive control/observation systems (93C40) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (1)

Adaptive control with optimal tracking performance

Uses Software

• Matlab
• Simulink

Cites Work

• Unnamed Item
• Time delay estimation using fractional Fourier transform
• Maximum likelihood estimation of time delays in multipath acoustic channel
• Range identification for nonlinear parameterizable paracatadioptric systems
• Accurate time delay estimation based passive localization
• Modified ESPRIT (M-ESPRIT) algorithm for time delay estimation in both any noise and any radar pulse context by a GPR radar
• Adaptive control of continuous time systems with convex/concave parametrization
• Time-delay systems: an overview of some recent advances and open problems.
• Noisy input-output system identification approach for time delay estimation.
• Time delay estimation in continuous linear time-invariant systems
• Improving delay estimates derived from least-square algorithms and Padé approximations
• Recursive time delay estimation method
• A new method for unbiased time‐delay estimation in noisy environments

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