Abstract

The application of CMAC control techniques for improving the performance of ship steering is discussed. Combining CMAC addressing schemes with fuzzy logic idea, a general fuzzified CMAC (GFAC) is proposed, in which the fuzzy membership functions are utilized as the receptive field functions. Then a GFAC based model reference adaptive controller is described, whose required teacher signals are explicitly constructed by a reference model. Applying the proposed GFAC controller in a ship steering control system, the simulation results show that the ship course can be properly controlled when changing wind and wave exist

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