High-Order Fully Actuated System Models for Strict-Feedback Systems with Increasing Dimensions

This paper mainly addresses control problems of strict-feedback systems (SFSs) with increasing dimensions. Compared with the commonly-considered SFSs where the subsystems have the same dimension, we aim to handle more complex cases, i.e., the subsystems in the considered SFSs are assumed to have increasing dimensions. By transforming the systems into high-order fully-actuated system (HOFAS) models, the stabilizing controllers can be directly given. Besides first-order SFSs, second-order and high-order SFSs are also considered.

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Institutions

Publication Details

Journal
IEEE/CAA Journal of Automatica Sinica
Published
2024-11-20
DOI
https://doi.org/10.1109/jas.2024.124599
Citations
12
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
3.94

Funders

Controls
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article

High-Order Fully Actuated System Models for Strict-Feedback Systems with Increasing Dimensions

Xiang Xu, Guang‐Ren Duan
12 citations
IEEE/CAA Journal of Automatica Sinica
Iterative Learning Control Systems
3.94
article

High-Order Fully Actuated System Models for Strict-Feedback Systems with Increasing Dimensions

Xiang Xu, Guang‐Ren Duan
article en
12 citations

Abstract

This paper mainly addresses control problems of strict-feedback systems (SFSs) with increasing dimensions. Compared with the commonly-considered SFSs where the subsystems have the same dimension, we aim to handle more complex cases, i.e., the subsystems in the considered SFSs are assumed to have increasing dimensions. By transforming the systems into high-order fully-actuated system (HOFAS) models, the stabilizing controllers can be directly given. Besides first-order SFSs, second-order and high-order SFSs are also considered.

IEEE/CAA Journal of Automatica SinicaVol. 11(12)
Southern University of Science and Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 6%
Iterative Learning Control Systems
3.94
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