Nonlinear system control using neural networks based on trajectory linearization

A nonlinear control technique using neural networks based on trajectory linearization control (TLC) is proposed. Trajectory linearization control is a novel control design method that combines a dynamic inversion and linear time-varying feedback stabilization along a nominal trajectory. In this paper, the TLC design procedure using neural networks model is developed, and the stability and robustness are analyzed. Simulation results are presented to show the feasibility of the proposed method.