Class for performing model-based prognosis.

This class defines an object for performing model-based prognosis. It contains a system model, an Observer, a Predictor, and functions for generating samples for prediction. The system model must be defined using the PrognosticsModel class, i.e., it requires a state equation, output equation, input equation, and threshold equation.

Methods

• initialize - Initialize the prognoser with initial time, state, inputs
• update - Update the prognoser and its state estimate with new data
• predict - Predict the system evolution given the state estimate

See also Predictor.