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Predefined-time sliding mode control for position and attitude of quadrotor with variable exponent coefficients

Lookup NU author(s): Professor Cheng ChinORCiD

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Abstract

© The Author(s) 2025.This paper presents a comprehensive study on predefined-time sliding mode control applied to quadrotor systems with variable exponent coefficients. The main goal is to achieve efficient control with predefined-time convergence to the desired target. Novel predefined-time sliding mode control and predefined-time neural networks sliding model control algorithms are developed to adapt to the dynamics of variable coefficients and ensure system stability. The stability analysis confirms their capability to achieve predefined-time convergence. Extensive numerical simulations on diverse nonlinear systems validate the superiority of the proposed approach over conventional sliding mode control and neural networks control.

Publication metadata

Author(s): Hou L, Zhang J, Yu Z, Wang X, Chin CS

Publication type: Article

Publication status: Published

Journal: Scientific Reports

Year: 2025

Volume: 15

Issue: 1

Online publication date: 12/11/2025

Acceptance date: 06/10/2025

Date deposited: 27/11/2025

ISSN (electronic): 2045-2322

Publisher: Nature Research

URL: https://doi.org/10.1038/s41598-025-23330-2

DOI: 10.1038/s41598-025-23330-2

Data Access Statement: All data generated or analysed during this study are included in this published article

PubMed id: 41224976

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