Practical stabilization of highly nonlinear fuzzy hybrid complex networks via aperiodically intermittent discrete-time observation control

In this paper, the practical stabilization of highly nonlinear Takagi–Sugeno fuzzy complex networks with Markovian jump (HT-SFNM) is investigated via aperiodically intermittent discrete-time observation control (AID-TOC). Compared to existing articles on highly nonlinear complex networks, this paper considers both Takagi–Sugeno fuzzy rules and Markovian jump for the first time, and uses AID-TOC to solve its stability problem. Furthermore, more general polynomial growth conditions are adopted instead of the conventional linear growth conditions, which makes the model more universal. Finally, two numerical examples are presented to illustrate the effectiveness of the theoretical results.