A new framework to design parameter estimators for nonlinearlyparameterizedsystems is proposed in this *** key step is the construction of a monotone function,which explicitly depends on some of the estimator tuning...
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A new framework to design parameter estimators for nonlinearlyparameterizedsystems is proposed in this *** key step is the construction of a monotone function,which explicitly depends on some of the estimator tuning ***—or the related property of convexity—have already been explored by several authors with monotonicity(or convexity) being a priori assumptions that are,usually,valid only on some region of state *** our approach monotonicity is enforced by the designer,effectively becoming a synthesis *** order to dispose of degrees of freedom to render the function monotone we depart from standard(gradient or least-squares) estimators and adopt instead the recently introduced immersion and invariance approach for adaptation.
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