Spatiotemporal Observer Design for Predictive Learning of High-Dimensional Data

arXiv:2402.15284v1 Announce Type: new
Abstract: Although deep learning-based methods have shown great success in spatiotemporal predictive learning, the framework of those models is designed mainly by intuition. How to make spatiotemporal forecasting with theoretical guarantees is still a challenging issue. In this work, we tackle this problem by applying domain knowledge from the dynamical system to the framework design of deep learning models. An observer theory-guided deep learning architecture, called Spatiotemporal Observer, is designed for predictive learning of high dimensional …

abstract arxiv cs.ai cs.lg cs.sy data deep learning design domain domain knowledge eess.sy forecasting framework intuition issue knowledge predictive success type work