Adaptive recursive least squares algorithm for joint FIR filteringand pre-delay tracking and its application in the chemical industryprocess modeling

摘要

In this paper, the joint FIR filtering and pre-delay trackingsystem identification problem is considered. The input signal to theunknown system is first delayed then filtered. An adaptive recursiveleast squares algorithm based on fast transversal filters is developedand applied to the field data from the chemical industry process of somesynthetic ammonia plant. In the simulation of 25 hours field running, itgives a relative prediction error no more than 3.6% and the modelingresults are reasonable