| Title |
Sampled-data Fuzzy Tracking Control of Nonlinear Control Systems |
| Authors |
김한솔(Kim, Han Sol) ; 박진배(Park, Jin Bae) ; 주영훈(Joo, Young Hoon) |
| DOI |
https://doi.org/10.5370/KIEE.2017.66.1.159 |
| Keywords |
Takagi-Sugeno (T-S) fuzzy model ; Sampled-data tracking controller ; Linear Matrix Inequality (LMI) ; Nonlinear control system |
| Abstract |
In this paper, we propose a method of designing the sampled-data tracking controller for nonlinear systems expressed by the Takagi-Sugeno (T-S) fuzzy model. A sufficient condition that asymptotically stabilizes the state error between the linear reference model and the T-S fuzzy model is derived in terms of linear matrix inequalities. To this end, error dynamics are constructed, and the exact discretization method and the Lyapunov stability theory are employed in this paper. Finally, we validate the proposed method through the simulation example. |