$$H_{\infty }$$ controller synthesis for interval type-2 fuzzy network systems with hybrid attacks and disturbances via dual-channel dynamic event-triggered mechanisms
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Applied Mathematics,Mechanical Engineering,Ocean Engineering,Aerospace Engineering,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11071-023-08950-5.pdf
Reference48 articles.
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2. Cao, L., Yao, D., Li, H., et al.: Fuzzy-based dynamic event triggering formation control for nonstrict-feedback nonlinear MASs. Fuzzy Sets Syst. 452, 1–22 (2023). https://doi.org/10.1016/j.fss.2022.03.005
3. Cheng, J., Wang, Y., Park, J.H., et al.: Static output feedback quantized control for fuzzy Markovian switching singularly perturbed systems with deception attacks. IEEE Trans. Fuzzy Syst. 30(4), 1036–1047 (2022). https://doi.org/10.1109/TFUZZ.2021.3052104
4. Deng, C., Wen, C., Huang, J., et al.: Distributed observer-based cooperative control approach for uncertain nonlinear MASs under event-triggered communication. IEEE Trans. Autom. Control 67(5), 2669–2676 (2022). https://doi.org/10.1109/TAC.2021.3090739
5. Deng, C., Jin, X.Z., Wu, Z.G., et al.: Data-driven-based cooperative resilient learning method for nonlinear MASs under DoS attacks. IEEE Trans. Neural Netw. Learn. Syst. (2023). https://doi.org/10.1109/TNNLS.2023.3252080
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