Non-linear Control System Using Function-Link Fuzzy Brain Emotional Controller-Reference-Cited by-同舟云学术

Non-linear Control System Using Function-Link Fuzzy Brain Emotional Controller

Published:2023-10-31 Issue: Volume: Page:
ISSN:1562-2479
Container-title:International Journal of Fuzzy Systems
language:en
Short-container-title:Int. J. Fuzzy Syst.

Author:

Murugan Sowmyanarayanan,Anh Le Hoang,Le Tien-Loc^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software,Information Systems,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s40815-023-01603-0.pdf

Reference38 articles.

1. Bai, W., Zhou, Q., Li, T., Li, H.: Adaptive reinforcement learning neural network control for uncertain nonlinear system with input saturation. IEEE Trans. Cybern. 50(8), 3433–3443 (2020)

2. Liu, Y.-J., Zeng, Q., Tong, S., Chen, C.L.P., Liu, L.: Adaptive neural network control for active suspension systems with time-varying vertical displacement and speed constraints. IEEE Trans. Industr. Electron. 66(12), 9458–9466 (2019)

3. Pan, Y., Yanmin, Wu., Lam, H.-K.: Security-based fuzzy control for nonlinear networked control systems with DoS attacks via a resilient event-triggered scheme. IEEE Trans. Fuzzy Syst. 30(10), 4359–4368 (2022)

4. Liang, Y.-H., Chen, L., Pan, Y., Lam, H.-K.: Fuzzy-based robust precision consensus tracking for uncertain networked systems with cooperative–antagonistic interactions. IEEE Trans. Fuzzy Syst. 31(4), 1362–1376 (2023)

5. Cao, L., Cheng, Z., Liu, Y., Li, H.: Event-based adaptive NN fixed-time cooperative formation for multiagent systems. IEEE Trans. Neural Netw. Learn. Syst. (2022). https://doi.org/10.1109/TNNLS.2022.3210269