Design of a Data-Driven Adaptive Controller Based on FF-ITDL for High-Order Fully Actuated Systems

This paper presents a novel data-driven controller for unknown nonlinear high-order fully actuated systems (HOFASs). The proposed approach leverages a full-form incremental triangular dynamic linearization (FF-ITDL) model with time-varying parameters, which effectively addresses system uncertainties and nonlinearities. The convergence and closed-loop stability of the overall control scheme are rigorously established using the contraction mapping principle. The numerical simulation results demonstrate the superior performance and robustness of the proposed controller, highlighting its potential for practical applications in advanced engineering systems.

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Publication Details

Published
2025-07-04
DOI
https://doi.org/10.1109/fasta65681.2025.11138092
Primary Topic
Control Systems and Identification
Type
article
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article

Design of a Data-Driven Adaptive Controller Based on FF-ITDL for High-Order Fully Actuated Systems

Yue Fu, Zhe Guan, Changchun Hua, Haoyong Yu
Control Systems and Identification
article

Design of a Data-Driven Adaptive Controller Based on FF-ITDL for High-Order Fully Actuated Systems

Yue Fu, Zhe Guan, Changchun Hua, Haoyong Yu
article en

Abstract

This paper presents a novel data-driven controller for unknown nonlinear high-order fully actuated systems (HOFASs). The proposed approach leverages a full-form incremental triangular dynamic linearization (FF-ITDL) model with time-varying parameters, which effectively addresses system uncertainties and nonlinearities. The convergence and closed-loop stability of the overall control scheme are rigorously established using the contraction mapping principle. The numerical simulation results demonstrate the superior performance and robustness of the proposed controller, highlighting its potential for practical applications in advanced engineering systems.

Beijing Institute of Technology (CN), Yanshan University (CN)
Openalex Percentile: Top 70%
Control Systems and Identification
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