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Journal articles
Performance Enhancement of Parameter Estimators via Dynamic Regressor Extension and Mixing
Abstract : A new procedure to design parameter estimators with enhanced performance is proposed in the technical note. For classical linear regression forms, it yields a new parameter estimator whose convergence is established without the usual requirement of regressor persistency of excitation. The technique is also applied to nonlinear regressions with “partially” monotonic parameter dependence-giving rise again to estimators with enhanced performance. Simulation results illustrate the advantages of the proposed procedure in both scenarios.
Cited literature [18 references]
https://hal-centralesupelec.archives-ouvertes.fr/hal-01612256
Contributor : Stanislav Aranovskiy Connect in order to contact the contributor
Submitted on : Wednesday, June 17, 2020 - 12:06:59 PM
Last modification on : Saturday, May 1, 2021 - 3:50:42 AM
Contributor : Stanislav Aranovskiy Connect in order to contact the contributor
Submitted on : Wednesday, June 17, 2020 - 12:06:59 PM
Last modification on : Saturday, May 1, 2021 - 3:50:42 AM
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