Deadzone-Adapted Disturbance Suppression Control for strict-feedback systems

In this paper we extend our recently proposed Deadzone-Adapted Disturbance Suppression (DADS) Control approach from systems with matched uncertainties to general systems in parametric strict feedback form. The DADS approach prevents gain and state drift regardless of the size of the disturbance and unknown parameter and achieves an attenuation of the plant output to an assignable small level, despite the presence of persistent disturbances and unknown parameters of arbitrary and unknown bounds. The controller is designed by means of a step-by-step backstepping procedure which can be applied in an algorithmic fashion. Examples are provided which illustrate the efficiency of the DADS controller compared to existing adaptive control schemes.

Authors

Publication Details

Journal
Automatica
Published
2024-10-16
DOI
https://doi.org/10.1016/j.automatica.2024.111986
Citations
5
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
1.64
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article

Deadzone-Adapted Disturbance Suppression Control for strict-feedback systems

Miroslav Krstić, Iasson Karafyllis, Alexandros Aslanidis
5 citations
Automatica
Adaptive Control of Nonlinear Systems
1.64
article

Deadzone-Adapted Disturbance Suppression Control for strict-feedback systems

Miroslav Krstić, Iasson Karafyllis, Alexandros Aslanidis
article en
5 citations

Abstract

In this paper we extend our recently proposed Deadzone-Adapted Disturbance Suppression (DADS) Control approach from systems with matched uncertainties to general systems in parametric strict feedback form. The DADS approach prevents gain and state drift regardless of the size of the disturbance and unknown parameter and achieves an attenuation of the plant output to an assignable small level, despite the presence of persistent disturbances and unknown parameters of arbitrary and unknown bounds. The controller is designed by means of a step-by-step backstepping procedure which can be applied in an algorithmic fashion. Examples are provided which illustrate the efficiency of the DADS controller compared to existing adaptive control schemes.

AutomaticaVol. 171
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Adaptive Control of Nonlinear Systems
1.64
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