State estimation of complex networks with time-varying delays and model uncertainty based on graph neural network
Author:
Affiliation:
1. Harbin Institute of Technology,Space Control and Inertial Technology Research Center,Harbin,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10238465/10238488/10238522.pdf?arnumber=10238522
Reference31 articles.
1. An event-triggered recursive state estimation approach for time-varying nonlinear complex networks with quantization effects
2. Delay Compensation-Based State Estimation for Time-Varying Complex Networks With Incomplete Observations and Dynamical Bias
3. Recursive fusion estimation for stochastic discrete time-varying complex networks under stochastic communication protocol: The state-saturated case
4. Finite horizon state estimation for time-varying neural networks with sensor failure and energy constraint
5. Graph Neural Network for Robust Public Transit Demand Prediction
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