Adaptive Prescribed Performance Control with Performance-Triggered Batch Least-Squares Identifier

This paper focuses on adaptive prescribed performance control for nonlinear systems with parametric uncertainties. The proposed control scheme incorporates a certainty equivalence controller, a batch least-squares identifier (BaLSI) and a performance triggered condition. The off-line BaLSI, which utilizes all the previously appeared excitation information for parameter updating, is activated as intervals by the performance triggered condition. The effects of the parametric uncertainties are eliminate in finite times of updating, and the closed-loop system can achieve the prescribed performance without suffering from stiff differential equation problem. The simulation results are provided to demonstrate the effectiveness of the proposed control scheme.

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Publication Details

Published
2024-12-12
DOI
https://doi.org/10.1109/icarcv63323.2024.10821618
Citations
2
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.66

Funders

Controls
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article

Adaptive Prescribed Performance Control with Performance-Triggered Batch Least-Squares Identifier

Jing Zhou, Wei Wang, Zitong Bai, Jiajun Shen
2 citations
Advanced Control Systems Optimization
0.66
article

Adaptive Prescribed Performance Control with Performance-Triggered Batch Least-Squares Identifier

Jing Zhou, Wei Wang, Zitong Bai, Jiajun Shen
article en
2 citations

Abstract

This paper focuses on adaptive prescribed performance control for nonlinear systems with parametric uncertainties. The proposed control scheme incorporates a certainty equivalence controller, a batch least-squares identifier (BaLSI) and a performance triggered condition. The off-line BaLSI, which utilizes all the previously appeared excitation information for parameter updating, is activated as intervals by the performance triggered condition. The effects of the parametric uncertainties are eliminate in finite times of updating, and the closed-loop system can achieve the prescribed performance without suffering from stiff differential equation problem. The simulation results are provided to demonstrate the effectiveness of the proposed control scheme.

University of Agder (NO), Beihang University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 28%
Advanced Control Systems Optimization
0.66
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Adaptive Prescribed Performance Control with Performance-Triggered Batch Least-Squares Identifier — Jing Zhou, Wei Wang, et al. · (2024) | TGRS Research Map | TGRS