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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 regressordoi:10.1109/acc.2016.7526771 dblp:conf/amcc/AranovskiyBOP16 fatcat:l33dukt72zec7lxzovhtivsmvi