Multiple models

In control theory, multiple model control is an approach to ensure stability in cases of large model uncertainty or changing plant dyanamics.

It uses a number of models, which are distributed to give a suitable cover of the region of uncertainty, and adapts control based on the responses of the plant and the models.

A model is chosen at every instant, depending on which is closest to the plant according to some metric, and this is used to determine the appropriate control input.

The method offers satisfactory performance when no restrictions are put on the number of available models.

[1] There are a number of multiple model methods, including: Multiple model method can be used for: