Sliding-Mode Predefined-Time Control for Full-Drive Rigid Spacecraft with Unmodeled Dynamics

This article devotes itself for concerning the sliding-mode predefined-time control for a rigid spacecraft system, which can be described as the full-drive rigid spacecraft system. During the predefined-time tracking control procedure, a dynamic signal and K-filters are respectively used to act their roles for restraining the unmodeled dynamics appeared in the modelling procedure, and meanwhile, a predefined-time extended observer is developed for evaluating the unavailable states of the modeled full-drive system. In the end, a predefined-time tacker is exported under the sliding-mode design framework, and the corresponding simulation reflects the availability of the presented strategy.

Authors

Institutions

Publication Details

Published
2025-07-04
DOI
https://doi.org/10.1109/fasta65681.2025.11138136
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sliding-Mode Predefined-Time Control for Full-Drive Rigid Spacecraft with Unmodeled Dynamics

Qiang Li, Jiaqi Xu, Jun Mao
Adaptive Control of Nonlinear Systems
article

Sliding-Mode Predefined-Time Control for Full-Drive Rigid Spacecraft with Unmodeled Dynamics

Qiang Li, Jiaqi Xu, Jun Mao
article en

Abstract

This article devotes itself for concerning the sliding-mode predefined-time control for a rigid spacecraft system, which can be described as the full-drive rigid spacecraft system. During the predefined-time tracking control procedure, a dynamic signal and K-filters are respectively used to act their roles for restraining the unmodeled dynamics appeared in the modelling procedure, and meanwhile, a predefined-time extended observer is developed for evaluating the unavailable states of the modeled full-drive system. In the end, a predefined-time tacker is exported under the sliding-mode design framework, and the corresponding simulation reflects the availability of the presented strategy.

China Jiliang University (CN)
Openalex Percentile: Top 69%
Adaptive Control of Nonlinear Systems
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.