Sayed, Ali H.Rupp, Markus2017-12-192017-12-192017-12-19199710.1016/S0005-1098(96)00136-7https://infoscience.epfl.ch/handle/20.500.14299/143433This paper proposes a feedback structure for the design of l2-stable algorithms for nonlinear adaptive filtering and identification, and establishes explicit connections between classical schemes in IIR modeling and more recent results in H∞ theory. In particular, two algorithms due to Feintuch and to Landau, as well as the so-called pseudo-linear regression and Gauss-Newton algorithms, are discussed within the framework proposed here. Additional examples and simulation results are included to illustrate the applicability of the approach to several nonlinear scenarios.An l2-stable feedback structure for nonlinear adaptive filtering and identificationtext::journal::journal article::research article