Disturbance Rejection for Systems with Uncertainties Based on Fixed-Time Equivalent-Input-Disturbance Approach

This paper presents a fixed-time equivalent-input-disturbance (EID) approach to deal with the problem of robust output-feedback control for perturbed uncertain systems. This method uses the basic structure of the conventional EID approach and treats uncertainties and disturbances as a lumped disturbance on the control-input channel. A fixed-time state observer enables state estimation, which resolves the causality issue in an EID-based control system, is finished in a fixed time. An implicit Lyapunov function, the homogeneity with dilation, the input-to-state stability, and the small-gain theorem are used to analyze the convergence and robustness of the EID-based system with measurement noise. Numerical and experimental results are presented to demonstrate the effectiveness and superiority of the proposed method.

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Publication Details

Journal
IEEE/CAA Journal of Automatica Sinica
Published
2024-11-20
DOI
https://doi.org/10.1109/jas.2024.124650
Citations
25
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
8.21

Funders

Controls
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article

Disturbance Rejection for Systems with Uncertainties Based on Fixed-Time Equivalent-Input-Disturbance Approach

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IEEE/CAA Journal of Automatica Sinica
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article

Disturbance Rejection for Systems with Uncertainties Based on Fixed-Time Equivalent-Input-Disturbance Approach

Xiang Wu, Fanghong Guo, Qun Lu, Li Yu, Jinhua She
article en
25 citations

Abstract

This paper presents a fixed-time equivalent-input-disturbance (EID) approach to deal with the problem of robust output-feedback control for perturbed uncertain systems. This method uses the basic structure of the conventional EID approach and treats uncertainties and disturbances as a lumped disturbance on the control-input channel. A fixed-time state observer enables state estimation, which resolves the causality issue in an EID-based control system, is finished in a fixed time. An implicit Lyapunov function, the homogeneity with dilation, the input-to-state stability, and the small-gain theorem are used to analyze the convergence and robustness of the EID-based system with measurement noise. Numerical and experimental results are presented to demonstrate the effectiveness and superiority of the proposed method.

IEEE/CAA Journal of Automatica SinicaVol. 11(12)
Tokyo University of Technology (JP), Zhejiang University of Technology (CN), Taizhou University (CN)
National Natural Science Foundation of China, Japan Society for the Promotion of Science, Natural Science Foundation of Zhejiang Province
Climate action
Openalex Percentile: Top 2%
Fault Detection and Control Systems
8.21
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