Generalized convergence conditions of the parameter adaptation algorithm in discrete-time recursive identification and adaptive control. - Bernard Vau; Henri Bourlès (Autom., 2018)

Pseudo-linear regression identification based on generalized orthonormal transfer functions: Convergence conditions and bias distribution. - Bernard Vau; Henri Bourlès (CoRR, 2018)

Some remarks on the bias distribution analysis of discrete-time identification algorithms based on pseudo-linear regressions. - Bernard Vau; Henri Bourlès (Syst. Control. Lett., 2018)

Youla-Kucera adaptive feedback disturbance rejection in the presence of plant uncertainties. - Bernard Vau; Ioan Doré Landau (CDC, 2019)

Adaptive feedback noise attenuation in the presence of plant uncertainties - A Dual Youla-Kucera approach. - Ioan Doré Landau; Bernard Vau; Gabriel Buche (ECC, 2021)

Closed-loop output error identification algorithms with predictors based on generalized orthonormal transfer functions: Convergence conditions and bias distribution. - Bernard Vau; Henri Bourlès (Autom., 2021)

Adaptive rejection of narrow-band disturbances in the presence of plant uncertainties - A dual Youla-Kucera approach. - Bernard Vau; Ioan Doré Landau (Autom., 2021)

Output Error Recursive Algorithms for Identification of Dual Youla-Kucera Models in Closed Loop Operation. - Ioan Doré Landau; Bernard Vau (ECC, 2022)

A robust whiteness test for the identification of discrete-time linear models: Use of orthonormal transfer functions. - Bernard Vau; Henri Bourlès (Autom., 2022)

Improving adaptation/learning transients using a dynamic adaptation gain/learning rate - Theoretical and experimental results. - Ioan Doré Landau; Tudor-Bogdan Airimitoaie; Bernard Vau; Gabriel Buche (ECC, 2023)

Recursive algorithms for identification of dual Youla-Kucera parametrized plant models in closed loop. - Ioan Doré Landau; Bernard Vau; Gabriel Buche (Eur. J. Control, 2023)

On a general structure for adaptation/learning algorithms. - Stability and performance issues. - Ioan Doré Landau; Tudor-Bogdan Airimitoaie; Bernard Vau; Gabriel Buche (Autom., 2023)

Can dynamic adaptation gain speed up recursive least squares algorithm? - Ioan Doré Landau; Tudor-Bogdan Airimitoaie; Bernard Vau; Gabriel Buche (CDC, 2024)

Dynamic Variable Step Size LMS Adaptation Algorithms - Application to Adaptive Feedforward Noise Attenuation. - Tudor-Bogdan Airimitoaie; Bernard Vau; Dariusz Bismor; Gabriel Buche; Ioan Doré Landau (ECC, 2024)

Recursive identification with regularization and on-line hyperparameters estimation. - Bernard Vau; Tudor-Bogdan Airimitoaie (CoRR, 2024)

Accelerating recursive least squares adaptation/learning algorithms using a dynamic adaptation gain. - Tudor-Bogdan Airimitoaie; Ioan Doré Landau; Bernard Vau; Gabriel Buche (Autom., 2025)