Research Project

Reservoir Computing

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

Publications

LoRA-RC: Reservoir Computing with Low-Rank Adaptation

Wenbin Wan

IEEE Control Systems Letters, 2026

Early access DOI
Lightweight Physics-Informed Reservoir Computing for Battery Health Prediction

Kumar Anurag, Yanwen Xu, and Wenbin Wan

IFAC Modeling, Estimation and Control Conference (MECC), 2026
RCUKF: Data-Driven Modeling Meets Bayesian Estimation

Kumar Anurag, Kasra Azizi, Francesco Sorrentino, and Wenbin Wan

IFAC Modeling, Estimation and Control Conference (MECC), 2025

DOI Project page