Modeling and Stabilization of Nonlinear Systems Using PDC Approach
نویسندگان
چکیده
Abstract: This paper studies and synthesis the parallel distribution compensation PDC controller for discretetime nonlinear systems that which is represented by Takagi-Seguno (T-S) fuzzy models. This work is based on two steps: the first one is modeling and identification of the studied systems by using the clustering method. In particular, we use Fuzzy C-Means (FCM) algorithm. In second one, we interest in the first part to the stability analysis of multi-model by Lyapunov functions using convex optimization algorithms at the linear matrix inequality LMI and in the second part, we focus on synthesis of PDC control law. Finally, the study methodology is implemented on an inverted pendulum system.
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