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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.
https://hal-centralesupelec.archives-ouvertes.fr/hal-01612256
Contributor : Stanislav Aranovskiy <>
Submitted on : Friday, October 6, 2017 - 4:01:10 PM
Last modification on : Wednesday, April 8, 2020 - 3:58:39 PM
Contributor : Stanislav Aranovskiy <>
Submitted on : Friday, October 6, 2017 - 4:01:10 PM
Last modification on : Wednesday, April 8, 2020 - 3:58:39 PM
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