Real-time optimisation study of the step size factor in MFAC based on the barrier function method

The effectiveness of the model free adaptive control (MFAC) method relies heavily on the selection of the step size factor. The selection of inappropriate value of the step size factor can greatly reduce the effectiveness of the model free adaptive controller or even lead to the instability of the control system. In this paper, a real-time optimisation method is proposed for the step size factor in compact form dynamic linearisation based MFAC (CFDL-MFAC) scheme. Theoretical analysis reveals that it has higher convergence accuracy than the conventional CFDL-MFAC method, and finally the superiority of the method is further verified by simulation examples.

Authors

Institutions

Publication Details

Journal
International Journal of Automation and Control
Published
2025-01-01
DOI
https://doi.org/10.1504/ijaac.2025.147196
Citations
1
Primary Topic
Industrial Technology and Control Systems
Type
article
Field-Weighted Citation Impact
1.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Real-time optimisation study of the step size factor in MFAC based on the barrier function method

Zeng Li, Li Fei, Dongya Zhao, Shouli Gao
1 citations
International Journal of Automation and Control
Industrial Technology and Control Systems
1.21
article

Real-time optimisation study of the step size factor in MFAC based on the barrier function method

Zeng Li, Li Fei, Dongya Zhao, Shouli Gao
article en
1 citations

Abstract

The effectiveness of the model free adaptive control (MFAC) method relies heavily on the selection of the step size factor. The selection of inappropriate value of the step size factor can greatly reduce the effectiveness of the model free adaptive controller or even lead to the instability of the control system. In this paper, a real-time optimisation method is proposed for the step size factor in compact form dynamic linearisation based MFAC (CFDL-MFAC) scheme. Theoretical analysis reveals that it has higher convergence accuracy than the conventional CFDL-MFAC method, and finally the superiority of the method is further verified by simulation examples.

International Journal of Automation and ControlVol. 19(4)
China University of Petroleum, East China (CN)
Openalex Percentile: Top 19%
Industrial Technology and Control Systems
1.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.