Adaptive neural network observer-based filtered backstepping control for nonlinear systems with fuzzy dead-zone and uncertainty

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Shahriari-kahkeshi, Maryam ORCID logoORCID: https://orcid.org/0000-0001-9962-8807, Jahangiri-heidari, Mohsen and Shi, Peng ORCID logoORCID: https://orcid.org/0000-0001-8218-586X (2023) Adaptive neural network observer-based filtered backstepping control for nonlinear systems with fuzzy dead-zone and uncertainty. International Journal of Adaptive Control and Signal Processing, 37 (6). pp. 1559-1581. ISSN 0890-6327

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/47645
DOI 10.1002/acs.3589
Official URL https://onlinelibrary.wiley.com/doi/10.1002/acs.35...
Subjects Current > FOR (2020) Classification > 4007 Control engineering, mechatronics and robotics
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords dead-zone constraint; conventional dynamic surface control; radial basis function neural network; nonlinear tracking differentiator; error compensation; output feedback control
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