Adaptive output feedback control for uncertain nonlinear systems with unknown dead-zone input

In this paper, adaptive output feedback control is investigated for a class of nonlinear systems with unknown dead-zone and dynamic uncertainties. Using the simplified dead-zone formula and K-filters, an adaptive neural control scheme is developed. Unmodeled dynamics is handled with the help of a novel description for unmodeled dynamics. Using dynamics surface control method, the condition that the approximation errors are bounded is avoided. By the theoretical analysis, all the signals in the closed-loop control system are semi-globally uniformly ultimately bounded. Simulation results are provided to illustrate the effectiveness of the proposed approach.