Neural network approximation-based backstepping sliding mode control for spacecraft with input saturation and dynamics uncertainty
- 25 October 2021
- journal article
- research article
- Published by Elsevier BV in Acta Astronautica
- Vol. 191, 1-10
- https://doi.org/10.1016/j.actaastro.2021.10.035
Abstract
No abstract availableKeywords
This publication has 34 references indexed in Scilit:
- Adaptive sliding mode control of a wheeled mobile robot towing a trailerProceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 2014
- Space-based line-of-sight tracking control of GEO target using nonsingular terminal sliding modeAdvances in Space Research, 2014
- Adaptive hybrid control system using a recurrent RBFN-based self-evolving fuzzy-neural-network for PMSM servo drivesApplied Soft Computing, 2014
- Robust and optimal attitude control of spacecraft with disturbancesInternational Journal of Systems Science, 2013
- Neural network-based adaptive output feedback formation control for multi-agent systemsNonlinear Dynamics, 2012
- Sliding mode attitude tracking of rigid spacecraft with disturbancesJournal of the Franklin Institute, 2012
- Adaptive tracking control of uncertain MIMO nonlinear systems with input constraintsAutomatica, 2011
- Robust attitude stabilization of spacecraft using nonlinear quaternion feedbackIEEE Transactions on Automatic Control, 1995
- Universal Approximation Using Radial-Basis-Function NetworksNeural Computation, 1991
- Layered Neural Networks with Gaussian Hidden Units as Universal ApproximationsNeural Computation, 1990