This paper presents a software module for intelligently automating system identification, especially for dynamic systems modeled with the transfer matrix method (TMM). The TMM is a modeling approach that represents the elements of a dynamic system with matrices that transfer a vector of states from one end of the element to the other. A system model is formed by multiplying element transfer matrices together to form a system transfer matrix. The TMM is capable of modeling continuous elements without discretization. Existing system identification packages cannot handle continuous models of distributed-parameter systems and therefore cannot be used to identify TMM models. This paper presents a Python software module for TMM modeling that includes integrated system identification capabilities. This software module intelligently automates the system identification process, significantly reducing the time and effort required for system identification and eliminating errors stemming from low-level details.

This content is only available via PDF.
You do not currently have access to this content.