Delayed fuzzy control of a unified chaotic system
统一混沌系统的时延模糊控制

In this paper, we have studied a new delay-dependent chaos control approach via delayed state feedback. This approach uses Takagi-Sugeno fuzzy model to represent a unified chaotic system and adopts the theory of Lyapunov-Krasovskii stability and linear matrix inequalities (LMIs). Simulation results show that the delay-dependent state feedback controller we designed can stabilize the unified chaotic system to its equilibrium.