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Robust MIMO adaptive observer-based control for a Timoshenko beam

delete2025-04-01
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AI
孟亭亭 cover
孟亭亭 (Tingting Meng)
郭宝珠 (Bao‐Zhu Guo)
W
Wei He *
DOI:10.1016/j.automatica.2025.112155delete
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Abstract

Abstract

En 中文
This paper addresses output regulation for a Timoshenko beam with unknown disturbances and references emanating from an exosystem. By transforming all uncertainties into measurable errors, we are able to estimate approximately the unknown references via a beam observer. However, this alone is insufficient to fully address the uncertainties inherent in state feedback controls. To bridge this gap, we start by estimating exosystem states through an MIMO exosystem observer. To tackle the unknown coefficients in the state feedback controls, we design adaptation laws that seamlessly integrate both the beam and exosystem observers, without the need for a persistent excitation condition. This thus gives adaptive observer-based controls. We rigorously prove the asymptotic convergence of tracking errors and the boundedness of system states. The effectiveness of the proposed controls is validated through numerical simulations. (c) 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
Keywords:
Adaptive observer based control
MIMO adaptive observer design
Adaptive control
PDE systems

Journal

Automatica cover
Automatica
IF:
5.9
Papers:
1.2W
Citations:
5.2W

Organization

U
University of Science and Technology Beijing
Scholars:
4.4K
Papers: 1.8K
Citations: 4.8W
A
Acad Sinica
Scholars:
764
Papers: 382
Citations: 148