Adaptive Fuzzy Output-Feedback Tracking Control for Nonlinear Time-Varying State-Constrained Systems Without the Feasibility Condition-Reference-Cited by-同舟云学术

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Adaptive Fuzzy Output-Feedback Tracking Control for Nonlinear Time-Varying State-Constrained Systems Without the Feasibility Condition

Published:2024-03-01 Issue:4 Volume:26 Page:1233-1246
ISSN:1562-2479
Container-title:International Journal of Fuzzy Systems
language:en
Short-container-title:Int. J. Fuzzy Syst.

Author:

Lv Xiaoning,Wei Wei,Zhang Weihai^ORCID

Funder

National Natural Science Foundation of China

Taishan Scholar Foundation of Shandong Province

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s40815-023-01663-2.pdf

Reference26 articles.

1. Cui, D., Xiang, Z.R.: Nonsingular fixed-time fault-tolerant fuzzy control for switched uncertain nonlinear systems. IEEE Trans. Fuzzy Syst. 31(1), 174–183 (2023)

2. Li, Y.M., Yang, T.T., Tong, S.C.: Adaptive neural networks finite-time optimal control for a class of nonlinear systems. IEEE Trans. Neural Netw. Learn. Syst. 31(11), 4451–4460 (2020)

3. Su, H., Zhang, W.H.: Observer-based adaptive neural quantized control for nonlinear systems with asymmetric fuzzy dead zones and unknown control directions. Nonlinear Dyn. 108(4), 3643–3656 (2022)

4. Cui, D., Zou, W.C., Guo, J., Xiang, Z.R.: Neural network-based adaptive finite-time tracking control of switched nonlinear systems with time-varying delay. Appl. Math. Comput. 428, 89 (2022). https://doi.org/10.1016/j.amc.2022.127216

5. Liu, H., Pan, Y.P., Cao, J.D.: Composite learning adaptive dynamic surface control of fractional-order nonlinear systems. IEEE Trans. Cybern. 50(6), 2557–2567 (2020)

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