Partial-State Deadzone-Adapted Disturbance Suppression Control For Strict-Feedback Systems
Abstract
In this paper we provide an extension of the partial-state Deadzone-Adapted Disturbance Suppression (DADS) adaptive control scheme in the case of strict-feedback systems. We study two cases: the cases of strict-feedback systems with and without integrators. The DADS controller achieves attenuation of the output to an assignable small level, despite the presence of (time-varying) disturbances, unknown (time-varying) parameters and unknown (time-varying) input coefficients; all of them with arbitrary and unknown bounds. The mechanism that makes DADS work is the same in all previously studied cases where DADS has been applied: the update law "pumps up" the nonlinear controller gain to a sufficient size, adapting the gain to the unknown uncertainties, and shuts off further pumping up of the gain once the output is in the residual set. The results are directly extended to the infinite-dimensional case. Two simple examples are provided: one finite-dimensional example and one infinite-dimensional example. The finite-dimensional example is used for a detailed comparison with existing results in the literature.
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BibTeX
@misc{karafyllis2026partialstate,
title = {{Partial-State Deadzone-Adapted Disturbance Suppression Control For Strict-Feedback Systems}},
author = {Iasson Karafyllis and Alexandros Aslanidis and Miroslav Krstic},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.05797},
eprint = {2610.05797},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.05797},
note = {CC BY-SA 4.0},
}
RIS
TY - UNPB
TI - Partial-State Deadzone-Adapted Disturbance Suppression Control For Strict-Feedback Systems
AU - Iasson Karafyllis
AU - Alexandros Aslanidis
AU - Miroslav Krstic
PY - 2026
DA - 2026/10/05
PB - arXiv
DO - 10.48550/arxiv.2610.05797
UR - https://arxiv.org/abs/2610.05797
AB - In this paper we provide an extension of the partial-state Deadzone-Adapted Disturbance Suppression (DADS) adaptive control scheme in the case of strict-feedback systems. We study two cases: the cases of strict-feedback systems with and without integrators. The DADS controller achieves attenuation of the output to an assignable small level, despite the presence of (time-varying) disturbances, unknown (time-varying) parameters and unknown (time-varying) input coefficients; all of them with arbitrary and unknown bounds. The mechanism that makes DADS work is the same in all previously studied cases where DADS has been applied: the update law "pumps up" the nonlinear controller gain to a sufficient size, adapting the gain to the unknown uncertainties, and shuts off further pumping up of the gain once the output is in the residual set. The results are directly extended to the infinite-dimensional case. Two simple examples are provided: one finite-dimensional example and one infinite-dimensional example. The finite-dimensional example is used for a detailed comparison with existing results in the literature.
ER -