Research Projects

Reservoir Computing

This project leverages reservoir computing (RC) architecture to predict time-varying uncertainties in complex dynamical systems. By utilizing the computational efficiency of the RC architecture, we aim to efficiently predict unknown behaviors in dynamic environments.

Publications:

RCUKF: Data-Driven Modeling Meets Bayesian Estimation Kumar Anurag, Kasra Azizi, Francesco Sorrentino, and Wenbin Wan IFAC Modeling, Estimation and Control Conference (MECC), 2025

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