In this paper, the neural network with functional link net for identification of mobile 2-wheeled robot is applied. The least square learning algorithm is developed.
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Continuous time parametrical model has been developed and applied to identiflcation of the mobile 2-wheeled robot. The least square method to adjust the model's parameter is derived.
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This paper presents problems connected with the identification of dynamic motions equations derived on the basis of Maggi equations for a 2-wheeled mobile robot. The possibitity of sending data between Maple™and Matlab™ has been discussed. Off-line structures of identification have been presented with use of fuzzy logic. Remarks and conclusions have been drawn. Continuous time parametrical model has been developed and applied to identiflcation of the mobile 2-wheeled robot. The least square method to adjust the model's parameter is derived.
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