Partial-Nodes-Based State Estimation for Stochastic Coupled Complex Networks with Random Sensor Delay: An Event-Triggered Communication Method
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s00034-022-02059-7.pdf
Reference53 articles.
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3. P. Duan, G. Lv, Z. Duan, Y. Lv, Resilient state estimation for complex dynamic networks with system model perturbation. IEEE Trans. Control Netw. Syst. 8(1), 135–146 (2021)
4. H. Gao, H. Dong, Z. Wang, F. Han, An event-triggering approach to recursive filtering for complex networks with state saturations and random coupling strengths. IEEE Trans. Neural Netw. Learn. Syst. 31(10), 4279–4289 (2020)
5. H. Geng, H. Liu, L. Ma, X. Yi, Multi-sensor filtering fusion meets censored measurements under a constrained network environment: advances, challenges and prospects. Int. J. Syst. Sci. 52(16), 3410–3436 (2021)
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1. Event-triggered filtering for complex networks subject to random coupling strength and missing measurements: A partial-nodes accessible case;Journal of the Franklin Institute;2024-08
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