Observer-based composite adaptive fuzzy echo state network control of uncertain pure-feedback nonlinear systems free from backstepping
Author:
Funder
the National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11071-024-10177-x.pdf
Reference54 articles.
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2. Niu, B., Wang, X., Wang, X., Wang, X., Li, T.: Adaptive barrier-Lyapunov-functions based control scheme of nonlinear pure-feedback systems with full state constraints and asymptotic tracking performance. J. Syst. Sci. Complex. 37(3), 965–984 (2024)
3. Wang, X., Jiang, K., Zhang, G., Niu, B.: Event-triggered-based adaptive decentralized asymptotic tracking control scheme for a class of nonlinear pure-feedback interconnected systems. Nonlinear Dyn. 104(4), 3881–3895 (2021)
4. Wang, T., Ma, M., Qiu, J., Gao, H.: Event-triggered adaptive fuzzy tracking control for pure-feedback stochastic nonlinear systems with multiple constraints. IEEE Trans. Fuzzy Syst. 29(6), 1496–1506 (2020)
5. Liu, X., Zhai, D., Li, T., Zhang, Q.: Fuzzy-approximation adaptive fault-tolerant control for nonlinear pure-feedback systems with unknown control directions and sensor failures. Fuzzy Sets Syst. 356, 28–43 (2019)
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