Discover governing differential equations from evolving systems

Discovering the governing equations of evolving systems from available observations is essential and challenging. In this paper, we consider a different scenario: discovering streaming data. Current methods struggle to discover differential with considering measurements as whole, leading failure handle task. We propose an online modeling method capable handling samples one by sequentially data instead processing entire set. The proposed performs well in ordinary partial Evolving are changing over time, which invariably changes system status. Thus finding exact change points critical. measurement generated changed distributed dissimilarly before; hence difference can be identified method. Our proposal competitive identifying three hybrid two switching linear systems.