| 摘要 |
Output values of a physical system are predicted from a set of measured inputs of the system using an adaptive model. At each time when a prediction is made, the model is re-initialized to an initial, off-line model 1 and is then refined to incorporate on-line data using a predetermined number of recent sets of measured inputs and output 2, 3. The model thus always remains "tethered" to the initial, off-line model and if operating conditions remain steady, the model does not become too specific to those operating conditions. |
