Adaptive Neural Network Control of Uncertain Nonlinear Systems in the Presence of Input Saturation

In this paper, we present a new scheme to design adaptive controller for uncertain nonlinear systems in the presence of input saturation. The control design is achieved by using backstepping technique and neural network. Unlike some existing control schemes for systems with input saturation, the developed controller does not require uncertain parameters within a known compact set. Besides showing stability, transient performance is also established and can be adjusted by tuning certain design parameters