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Adaptive stabilization for an uncertain reaction–diffusion equation with dynamic boundary condition at control end.

Authors :
Li, Jian
Wu, Zhaojing
Liu, Yungang
Source :
Systems & Control Letters. Apr2022, Vol. 162, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

This paper is devoted to the stabilization of a class of uncertain reaction–diffusion equations with dynamic boundary condition. Remarkably, the dynamics of boundary condition at control end are considered while unknown parameters are contained in both the intra-domain and the dynamic boundary. This greatly relaxes the restrictions on boundary dynamics and system uncertainties of the related literature where dynamic boundary condition is neglected or considered but unknown parameters are only contained in the dynamic boundary or even completely excluded from the whole system. To solve the control problem, a novel control framework is established by infinite-dimensional backstepping method combining with adaptive compensation technique based on passive identifier. Then, an adaptive state-feedback controller is explicitly constructed which guarantees that all the states of the resulting closed-loop system are bounded while those of the original system converge to zero. A simulation example is provided to validate the effectiveness of the proposed theoretical results. • The restrictions of the existing literature imposed on boundary dynamics and system uncertainties are greatly relaxed since a dynamic boundary condition at control end is considered while unknown parameters are allowed in both the intra-domain and the dynamic boundary in the paper. • A novel passive identifier is designed, combining which with the infinite-dimensional backstepping method, a novel control framework is established that can compensate both the boundary dynamics and system uncertainties, and in turn to stabilize the system under investigation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01676911
Volume :
162
Database :
Academic Search Index
Journal :
Systems & Control Letters
Publication Type :
Academic Journal
Accession number :
156127730
Full Text :
https://doi.org/10.1016/j.sysconle.2022.105180