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Volume 12
Issue 11
10.3390/aerospace12111010
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Stubborn Composite Disturbance Observer-Based MPC for Spacecraft Systems: An Event-Triggered Approach

by
Jianlin Chen
1,
Lei Liu
2,*,
Yang Xu
3 and
Yang Yu
4
1
School of Civil Aviation, Northwestern Polytechnical University, Xi’an 710072, China
2
Beijing Aerospace Control Center, Beijing 100048, China
3
School of Aeronautics and Astronautics, Tiangong University, Tianjin 300387, China
4
Intelligent Manufacturing College, Suzhou Chien-Shiung Institute of Technology, Suzhou 215411, China
*
Author to whom correspondence should be addressed.
Aerospace 2025, 12(11), 1010; https://doi.org/10.3390/aerospace12111010 (registering DOI)
Submission received: 23 September 2025 / Revised: 30 October 2025 / Accepted: 12 November 2025 / Published: 12 November 2025
(This article belongs to the Special Issue New Sights of Intelligent Robust Control in Aerospace)
Versions Notes

Abstract

This paper studies spacecraft control under communication congestion, multi-source uncertainties, and input constraints. To reduce communication load, a static event-triggered mechanism is used so that transmissions occur only when necessary. Unknown nonlinearities are estimated online by a radial basis function neural network (RBFNN). To address sensor outliers and external disturbances, an event-triggered stubborn composite disturbance observer (ESCDO) is proposed, and sufficient conditions are derived to ensure its globally uniformly bounded stability. Based on this, an MPC-based composite anti-disturbance controller is designed to satisfy input constraints, and conditions are provided to guarantee the uniform bounded stability of the closed loop. Numerical simulations are conducted to demonstrate the effectiveness of the proposed approach.
Keywords: multi-source uncertainties; event-triggered-based stubborn composite disturbance observer (ESCDO); radial basis function neural network (RBFNN); spacecraft systems; model predictive control (MPC) multi-source uncertainties; event-triggered-based stubborn composite disturbance observer (ESCDO); radial basis function neural network (RBFNN); spacecraft systems; model predictive control (MPC)

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MDPI and ACS Style

Chen, J.; Liu, L.; Xu, Y.; Yu, Y. Stubborn Composite Disturbance Observer-Based MPC for Spacecraft Systems: An Event-Triggered Approach. Aerospace 2025, 12, 1010. https://doi.org/10.3390/aerospace12111010

AMA Style

Chen J, Liu L, Xu Y, Yu Y. Stubborn Composite Disturbance Observer-Based MPC for Spacecraft Systems: An Event-Triggered Approach. Aerospace. 2025; 12(11):1010. https://doi.org/10.3390/aerospace12111010

Chicago/Turabian Style

Chen, Jianlin, Lei Liu, Yang Xu, and Yang Yu. 2025. "Stubborn Composite Disturbance Observer-Based MPC for Spacecraft Systems: An Event-Triggered Approach" Aerospace 12, no. 11: 1010. https://doi.org/10.3390/aerospace12111010

APA Style

Chen, J., Liu, L., Xu, Y., & Yu, Y. (2025). Stubborn Composite Disturbance Observer-Based MPC for Spacecraft Systems: An Event-Triggered Approach. Aerospace, 12(11), 1010. https://doi.org/10.3390/aerospace12111010

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