Intelligent controller design for nonlinear interconnected systems

In this paper, a intelligent digital controller is proposed for the nonlinear interconnected systems which are represented by a Takagi-Sugeno (T-S) fuzzy model. For development of the digital controller, it uses a intelligent digital redesign (IDR) method which finds the digital control gain to minimize the norm between the state variables of the analog and digital closed-loop systems. Also, the sufficient stabilization condition of the digital closed-loop system is derived in terms of linear matrix inequalities (LMIs). Finally, a numerical example is provided to verify the effectiveness of the porposed technique.