This paper describes the application of neurofuzzy techniques in the d
esign of autopilots for controlling the yaw dynamics of an autonomous
underwater vehicle. Autopilots are designed using an Adaptive-Network-
based Fuzzy Inference System (ANFIS), a chemotaxis tuning methodology
and a fixed fuzzy rule-based approach. To describe the yaw dynamic cha
racteristics of an autonomous underwater vehicle, a realistic simulati
on model is employed. Results are presented which demonstrate the supe
riority of the ANFIS approach. It is concluded that the approach offer
s a viable alternative method for designing such autopilots.