An adaptive PID controller is created using mix locally recurrent neural networks.

A sequential learning mechanism is derived for on line adaptation of the gains.

Fast, stable and accurate training algorithm compared to conventional gradient based methods.

The implemented controller is robust due to its on line learning capabilities.