This paper is concerned with an investigation into the use of artificial neural networks in the design of fuzzy autopilots for controlling the non-linear yaw dynamics of a modern Royal Navy warship model. Artificial neural networks are used to tune the consequent portion of the fuzzy conditional statements which constitute the fuzzy autopilots and comparisons are made between several training algorithms and two different network structures. Results are presented to show the viability of such an approach and that effective designs can be produced.
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