Method and system of dynamic model identification for monitoring and control of dynamic machines with variable structure or variable operation conditions

Abstract

A method and system for forming a dynamic model for the behavior of machines from sensed data. The method and system can include observing, with at least one sensor, a machine in operation; recording data from the at least one sensor about at least one characteristic of the machine in operation; fitting an input-output N(ARX)-LPV dynamic model to the recorded machine data; utilizing a CVA-(N)LPV realization method on the dynamic model; constructing a dynamic state space (N)LPV dynamic model based on the utilization of the CVA-(N)LPV realization method; generating a dynamic model of machine behavior; and at least one of controlling and modifying machine dynamic response characteristics based upon the generated dynamic model of machine behavior.

Dependencies are inferred from the claim text.