A. Ghaffari and A. Sadighi (Iran)
Fuzzy TSK Systems, Nonlinear Control, Stability,ANFIS, Neural Networks.
In this paper a neuro-fuzzy controller for nonlinear systems is designed. Since fuzzy techniques are capable of identifying unknown nonlinear systems using input output data, at first a fuzzy TSK model of the nonlinear plant is constructed and then using nonlinear control techniques, a control law is obtained for fuzzy TSK model. Finally a neuro-fuzzy controller is designed based on this control law and the simulation results for a nonlinear mass-spring system, is presented.
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