The Chaotic Robot Prediction by Neuro Fuzzy Algorithm
نویسندگان
چکیده
Abstract: In this paper an application of the adaptive neuro-fuzzy inference system has been introduced to predict the behavior of a chaotic robot. The chaotic mobile robot implies a mobile robot with a controller that ensures chaotic motions. Chaotic motion is characterized by the topological transitivity and the sensitive dependence on initial conditions. We have used the controller such that the total dynamics of the mobile robot is represented by the Arnold equation, which is known to show the chaotic behavior of non-compressive perfect fluid. Then we have used the adaptive neuro fuzzy inference system for predicting of this chaotic mobile robot. We propose to predict the behavior of the chaotic mobile robot by using an adaptive neuro-fuzzy inference system. This system is functionally similar to fuzzy inference systems which based on hybrid learning rule and also are more quick and accurate than methods used neural networks or Kalman filter.
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