Finite-time event-triggered prescribed control for stochastic systems with dead-zone

This paper addresses the problem of finite-time event-triggered prescribed performance control for stochastic systems with unknown dead-zone effects. A fuzzy state observer is developed to estimate unknown states, while fuzzy logic systems are used to approximate the nonlinear dynamics. To construct the prescribed performance controller, dynamic surface control technology is integrated to overcome the computational explosion problem associated with backstepping control, thereby reducing computational complexity. The proposed control method ensures bounded closed-loop system states and confines the tracking error within a small neighborhood of the equilibrium point in finite time, even with unknown input dead-zone. Finally, the effectiveness of the proposed method is demonstrated by simulations.