Adaptive Dynamic Surface Fault-tolerant Control for Nonlinear Systems with Actuator Dead-zone

This paper considers the tracking fault-tolerant controller design problem for a class of nonlinear systems with unknown functions and actuator dead-zone. Based on dynamic surface control scheme and neural network approximated technique, some assumptions on nonlinear functions are removed. Also, the structure of controller is simple without the problem of 'explosion of complexity'. Simultaneously, some assumptions, in which the parameters with respect to the actuator dead-zone are available in advance in previous works, are removed by introducing a virtual unknown parameter. By constructing the Lyapunov functional, we prove the asymptotical stability of the closed-loop system. Finally, chaotic circuit system example is initially tested to shown the effectiveness of the proposed results.