Synthesis of Adaptive Gain Robust Controllers for Polytopic Uncertain Systems with Multiple Unknown Dead-Zone Inputs

This paper deals with a design problem of adaptive gain robust controllers for polytopic uncertain systems with unknown dead-zone nonlinearities for inputs. The parameters for dead-zone characteristics are assumed to be unknown. In order to reduce the effect for dead-zone nonlinearities, an adaptive...

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Bibliographic Details
Published inIECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society pp. 1 - 6
Main Authors Hayakawa, Satoshi, Nakagawa, Takuya, Oya, Hidetoshi, Hoshi, Yoshikatsu
Format Conference Proceeding
LanguageEnglish
Published IEEE 17.10.2022
Subjects
adaptation laws
adaptive dead-zone inverse method
Adaptive systems
compensation inputs
dead-zone
Design methodology
Inverse problems
LMIs
Robust control
Sufficient conditions
Uncertain systems
Uncertainty
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Summary:This paper deals with a design problem of adaptive gain robust controllers for polytopic uncertain systems with unknown dead-zone nonlinearities for inputs. The parameters for dead-zone characteristics are assumed to be unknown. In order to reduce the effect for dead-zone nonlinearities, an adaptive dead-zone inverse method is utilized and a compensation input for uncertainties are introduced. In this paper, sufficient conditions for the existence of the proposed adaptive gain robust controller are shown. Moreover, a numerical example is given to demonstrate the effectiveness of the proposed adaptive gain robust controller.
ISSN:2577-1647
DOI:10.1109/IECON49645.2022.9969011