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Parameters estimation via dynamic regressor extension and mixing
2016
2016 American Control Conference (ACC)
A new way to design parameter estimators with enhanced performance is proposed in the paper. The procedure consists of two stages, first, the generation of new regression forms via the application of a dynamic operator to the original regression. Second, a suitable mix of these new regressors to obtain the final desired regression form. For classical linear regression forms the procedure yields a new parameter estimator whose convergence is established without the usual requirement of regressor
doi:10.1109/acc.2016.7526771
dblp:conf/amcc/AranovskiyBOP16
fatcat:l33dukt72zec7lxzovhtivsmvi