AI RESEARCH
Reservoir observer enhanced with residual calibration and attention mechanism
arXiv CS.LG
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ArXi:2604.08592v1 Announce Type: new Reservoir observers provide a data-driven approach to the inference of unmeasured variables from observed ones for nonlinear dynamical systems. While previous studies have nstrated wide applicability, their performance may vary considerably with different input variables, even compromising reliability in the worst cases. To enhance the performance of inference, we integrate residual calibration and attention mechanism into the reservoir observer design.