Generator dynamic model parameter estimation and tuning using online data and subspace state space model

A method of identifying and tuning model parameters, comprising:

• measuring current event data using a sensor;
• upon detecting the current event data comprises bad data, one of rejecting or filtering the bad data;
• receiving a machine model including model controls;
• identifying and tuning model parameters based on the current event data and the machine model;
• comparing the identified and tuned model parameters associated with the current event to a predefined threshold;
• and
• selecting one of the identified and tuned model parameters associated with the current event or identified and tuned parameters associated with a previous event based on the comparing.