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 generates a dynamic model of the machine by applying a canonical variate analysis (CVA) method to subspace system identification extending to parameter varying (LPV) systems and nonlinear (NL) systems in order to make implementation of the computation feasible and accurate.
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