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Disturbance Frequency Estimation for an LTV System


We consider the frequency estimation problem for a sinusoidal disturbance acting on a linear time-varying system, where only the input and output signals are available. We propose a novel parametrization that translates this problem into a linear regression model with unknown parameters. The frequency estimation is performed using the Dynamic Regressor Extension and Mixing procedure and an algebraic finite-time estimator. The resulting scheme provides finite-time frequency estimation under the interval excitation condition. The role of the tuning coefficients in satisfying the convergence condition is also discussed. Simulations illustrate the applicability of the proposed solution.
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hal-03545162 , version 1 (27-01-2022)


  • HAL Id : hal-03545162 , version 1


Stanislav Aranovskiy, Marina Korotina, Alexey Bobtsov. Disturbance Frequency Estimation for an LTV System. 14th IFAC Workshop on Adaptive and Learning Control Systems, Jun 2022, Casablanca, Morocco. ⟨hal-03545162⟩
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