In this section
@inproceedings{Chen:2026:10.1109/cdc57313.2025.11312249,
author = {Chen, K and Astolfi, A},
doi = {10.1109/cdc57313.2025.11312249},
pages = {717--722},
publisher = {IEEE},
title = {Adaptive immersion-and-invariance control with normalizing regressor filter},
url = {http://dx.doi.org/10.1109/cdc57313.2025.11312249},
year = {2026}
}
TY - CPAPER
AB - This paper proposes a new scheme for the so-called adaptive immersion-and-invariance (I&I) control that requires neither solving partial differential equations nor adding dynamic scaling factors to obtain the static I&I parameter estimation term. By exploiting a specially designed time-varying candidate Lyapunov function, we show that it is sufficient to pass the regressor through a strictly passive filter with a normalization-like output nonlinearity to generate a proxy regressor that forms the static I&I estimate. Closed-loop boundedness and asymptotic stabilization can be guaranteed. Simulation results illustrate the theory.
AU - Chen,K
AU - Astolfi,A
DO - 10.1109/cdc57313.2025.11312249
EP - 722
PB - IEEE
PY - 2026///
SP - 717
TI - Adaptive immersion-and-invariance control with normalizing regressor filter
UR - http://dx.doi.org/10.1109/cdc57313.2025.11312249
ER -