Adaptive neural finite-time control for space circumnavigation mission with uncertain input constraints

DOI10.1016/J.JFRANKLIN.2021.02.011zbMath1464.93067OpenAlexW3130947273MaRDI QIDQ2027386

Xuebo Yang, Hanlin Dong

Publication date: 26 May 2021

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2021.02.011

zbMATH Keywords

neural networksliding-mode controladaptive finite-time controlspace circumnavigation

Mathematics Subject Classification ID

Adaptive control/observation systems (93C40) Variable structure systems (93B12) Finite-time stability (93D40)

Related Items (4)

Learning‐based super‐twisting sliding‐mode control for space circumnavigation mission with suboptimal reaching under input constraints ⋮ Constrained adaptive fuzzy super-twisting control for space circumnavigation mission with input constraints and rough dynamics information ⋮ Finite-time distributed localization and multi-orbit circumnavigation with bearing-only measurements ⋮ A finite-time adaptive fuzzy backstepping control for multiple-input multiple-output coupled nonlinear systems with tracking error constraints

Cites Work

• Unnamed Item
• Reconfigurable spacecraft attitude takeover control in post-capture of target by space manipulators
• Adaptive fuzzy terminal sliding mode control for a class of MIMO uncertain nonlinear systems
• On nonsingular terminal sliding-mode control of nonlinear systems
• Adaptive fixed-time relative position tracking and attitude synchronization control for non-cooperative target spacecraft fly-around mission
• Model-based reinforcement learning for approximate optimal regulation
• Autonomous spacecraft rendezvous with finite time convergence
• Adaptive controller design for spacecraft formation flying using sliding mode controller and neural networks

This page was built for publication: Adaptive neural finite-time control for space circumnavigation mission with uncertain input constraints