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ISSN: 2333-9721
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New radial basis function fuzzy network controller based on genetic algorithms for ship control
遗传优化的径向基函数船舶模糊控制器

Keywords: radial basis function(RBF) network,fuzzy control,genetic algorithm,ship control,simulation test
径向基函数(RBF)网络
,模糊控制,遗传算法,船舶控制,仿真试验

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Abstract:

The use of radial basis function fuzzy network design for ship control is investigated.An radial basis function fuzzy controller is presented to comply with the requirements of the controlled ship performance under the environments of time-varying factors and uncertainties.The basic idea utilized for the controller design is given of combining a conventional RBF neural network with an additional fuzzy layer to increase the adaptability of the controller and utilizing genetic algorithms to optimize the parameters of the controller.The proposed design procedure for the controller requires less knowledge of the controlled plant in the initial design stage of fuzzy rule base than traditional methods.The performance of the controller is evaluated by system simulation conducted with Simulink tools in Matlab 6.1 and satisfied results are obtained.

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