Many industrial processes have significant spatiotemporal dynamics and they are usually
called distributed parameter systems (DPSs). Modeling such system is challenging due to its
nonlinearity, time-varying dynamics, and spatiotemporal coupling. Using model reduction
techniques, traditional DPS modeling methods usually reduce an infinite-dimensional
system to a finite-dimensional system, which leads to unknown nonlinearity and unmodeled
dynamics. The modeling method and the established model are hard to understand. Here …