Data-driven Finite-Time Control for Discrete-Time Nolinear Systems

A novel data-driven finite-time control (DDFTC) scheme for discrete-time nonlinear non-affine systems is proposed in this paper. Firstly, a linear data model (LDM) is presented for describing the system dynamics satisfying the Lipschitz continuity condition. Then, a fractional order controller involving parameters relating to the error bound is adopted. The tracking error converges to a designated bound within finite time, and the upper bound of the finite-time instant is obtained by using proper Lyapunov function. An example is provided illustrating the result.

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Published
2025-07-04
DOI
https://doi.org/10.1109/fasta65681.2025.11138640
Primary Topic
Advanced Control Systems Optimization
Type
article
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article

Data-driven Finite-Time Control for Discrete-Time Nolinear Systems

Ronghu Chi, Yang Liu, Zhiqing Liu
Advanced Control Systems Optimization
article

Data-driven Finite-Time Control for Discrete-Time Nolinear Systems

Ronghu Chi, Yang Liu, Zhiqing Liu
article en

Abstract

A novel data-driven finite-time control (DDFTC) scheme for discrete-time nonlinear non-affine systems is proposed in this paper. Firstly, a linear data model (LDM) is presented for describing the system dynamics satisfying the Lipschitz continuity condition. Then, a fractional order controller involving parameters relating to the error bound is adopted. The tracking error converges to a designated bound within finite time, and the upper bound of the finite-time instant is obtained by using proper Lyapunov function. An example is provided illustrating the result.

Qingdao University of Science and Technology (CN)
Openalex Percentile: Top 69%
Advanced Control Systems Optimization
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Data-driven Finite-Time Control for Discrete-Time Nolinear Systems — Ronghu Chi, Yang Liu, et al. · (2025) | TGRS Research Map | TGRS