Li, Peng;
Chen, Boli;
(2022)
Parameter Estimation for a Sinusoidal Signal with a Time-Varying Amplitude.
In:
Proceedings of the 20th European Control Conference (ECC).
(pp. pp. 1-6).
Institute of Electrical and Electronics Engineers (IEEE)
(In press).
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Abstract
This paper addresses the parameter estimation problem of a non-stationary sinusoidal signal with a timevarying amplitude, which is given by a known function of time multiplied by an unknown constant coefficient. A robust estimation algorithm is proposed for identifying the unknown frequency and the amplitude coefficient in real-time. The estimation algorithm is constructed based on the Volterra integral operator with suitably designed kernels and sliding mode adaptation laws. It is shown that the parameter estimation error converges to zero within an arbitrarily small finite time, and the robustness against bounded additive disturbances is certified by bounded-input-bounded-output arguments. The effectiveness of the estimation technique is evaluated and compared with other existing tools through numerical simulations.
Type: | Proceedings paper |
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Title: | Parameter Estimation for a Sinusoidal Signal with a Time-Varying Amplitude |
Event: | 20th European Control Conference (ECC) |
Location: | London, UK |
Dates: | 12th-15th July 2022 |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | https://ecc22.euca-ecc.org/ |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
URI: | https://discovery.ucl.ac.uk/id/eprint/10145788 |
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