The tracking control problem for a class of uncertainty nonlinear systems with strictly feedback is studied. Different from existing researches that using the adaptive neural network technology to handle the unknown functions, this paper introduces command filters to deal with the system uncertainty. Virtual control signals are designed via backstepping and an auxiliary equation is designed to construct the final control function. And then, the event trigger mechanism which can guarantee the system stability is used to decrease the update frequency of the input signal. Finally, a simulation case is given to illustrate the effectiveness of the proposed event triggered backstepping control scheme.