A new approach to adaptive fuzzy control
Hyung-Jin Kang, Hongyoup Son, Cheol Kwon, Mignon Park · 2002
In this paper, we have proposed the new approach to the indirect adaptive fuzzy control algorithms using Takagi-Sugeno fuzzy model. The regulation problem for the SISO nonlinear system is solved by the proposed algorithm. Using the advanced stability theory, the stability of the state, the control gain and the estimation error is proved. The performance of the proposed algorithm is illustrated by a simple example.