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- W3186157423 abstract "In this paper, we consider the problem of estimating a constant (or piecewise constant) parameter of a linear regression model. Using a hybrid systems framework, a hybrid algorithm is proposed allowing the estimate to converge to the exact value of the unknown parameter in predetermined finite time. Interestingly, we show that for the case of a constant parameter, the convergence property of the hybrid algorithm holds while only requiring the regressor to be exciting on a finite interval. For the case of a piecewise constant parameter, the classical persistency of excitation condition is required to guarantee the convergence. Robustness of the proposed algorithm with respect to measurements noise is analysed. Finally, illustrative examples are provided showing the merits of the proposed approach." @default.
- W3186157423 created "2021-08-02" @default.
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- W3186157423 date "2021-05-25" @default.
- W3186157423 modified "2023-09-23" @default.
- W3186157423 title "A Robust Hybrid Finite Time Parameter Estimator With Relaxed Persistence of Excitation Condition" @default.
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- W3186157423 doi "https://doi.org/10.23919/acc50511.2021.9483222" @default.
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