Fuzzy logic control of nonlinear systems with parametric uncertainties | ||||
| Menoufia Journal of Electronic Engineering Research | ||||
| Article 4, Volume 16, Issue 2, July 2006, Page 157-170 | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/mjeer.2006.64857 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Prof. Abdul Azim Sobaih; EL-Khatib Kamal | ||||
| Industrial Electronics and Control department Faculty of Electronic Engineering, Menoufya University, EGYPT | ||||
| Abstract | ||||
| A control algorithm for a class of non-linear uncertain systems is presented. The algorithm utilizes fuzzy systems based on "Takagi-sugeno" (TS) fuzzy models to approximate nonlinear systems. TS fuzzy systems are classified into three families based on the input matrices and a robust controller synthesis procedure is given for each family. It has been shown that the proposed method leads to robust control structure over a wide range of uncertainties of plant parameters. The two inverted pendulum system is used to illustrate the effectiveness of the proposed method. | ||||
| References | ||||
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