Neural network-based integral sliding mode backstepping control for virtual synchronous generators
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Teng, Q, Xu, D, Yang, W, Li, J and Shi, Peng 
ORCID: 0000-0001-8218-586X
(2021)
Neural network-based integral sliding mode backstepping control for virtual synchronous generators.
Energy Reports, 7.
pp. 1-9.
ISSN 2352-4847
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| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/44692 |
| DOI | 10.1016/j.egyr.2020.11.032 |
| Official URL | https://www.sciencedirect.com/science/article/pii/... |
| Subjects | Current > FOR (2020) Classification > 4007 Control engineering, mechatronics and robotics Current > FOR (2020) Classification > 4611 Machine learning Current > Division/Research > College of Science and Engineering |
| Keywords | radial basis function neural network; uncertain disturbance; Lyapunov function; nonlinear control; stability |
| Citations in Scopus | 13 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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