Event-triggered control for a class of strict-feedback nonlinear systems

This paper is concerned with the event-triggered control problem for a class of strict feedback nonlinear networked systems. Different from the existing design methods, a novel user-adjustable event-triggered mechanism is first developed to determine the sampling state instants using the negative definite property of the derivatives of Lyapunov functions. Then, an event-triggered control strategy is devised based on the sampled state vectors and backstepping techniques. It is proved that the proposed control scheme ensures the global convergence of the closed-loop systems via Lyapunov analyses and the correlation criteria of real variable functions. Finally, two examples are performed to illustrate the effectiveness of the provided control approaches.