Fuzzy neural order robust of the non-linear systems
F. Madour, K. Benmahammed, Hichem Arioui, Rochdi Merzouki, Hadj Ahmed Abbassi · AIP conference proceedings · 2008
This article introduces a controller at structure of a network multi‐layer neurons specified by the fuzzy reasoning of Takagi‐Sugeno (TS) order one [1], the weights of the network represent the standard deviations of the membership function. This controller is applied to the ordering of a reversed pendulum. Changes in the entries and the exit, as of the environment changes of operation are introduced in order to test the robustness of the designed controller.