Reconfigurable fault-tolerant attitude tracking for spacecraft with unknown nonlinear dynamics using neural network estimators with learning-type weight updating
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11071-024-09502-1.pdf
Reference39 articles.
1. Xiao, B., Zhao, S., Chen, Z., Cao, L.: Prescribed convergence time control of spacecraft attitude dynamics with parametric uncertainty. Nonlinear Dyn. (2023). https://doi.org/10.1007/s11071-023-08695-1
2. Shao, X.D., Hu, Q.L., Shi, Y., Zhang, Y.M.: Fault-tolerant control for full-state error constrained attitude tracking of uncertain spacecraft. Automatica 151, 110907 (2023)
3. Cao, Q., Li, H., Jia, Q., Ma, C., Zhang, Y.: Multi-observer approach for tracking control of flexible spacecraft using exponential mapping of SE(3). Nonlinear Dyn. 111(6), 5329–5343 (2023)
4. Tian, Y., Hu, Q.L., Shao, X.D.: Adaptive fault-tolerant control for attitude reorientation under complex attitude constraints. Aerosp. Sci. Technol. 121, 107332 (2022)
5. Chen, T., Chen, H.: Approximation capability to functions of several variables, nonlinear functionals, and operators by radial basis function neural networks. IEEE Trans. Neural Netw. 6(4), 904–910 (1995)
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