Robust Adaptive Control of Nonaffine Nonlinear Systems Using Radial Basis Function Neural Networks

In this paper, the problem of noise rejection for a class of nonaffine nonlinear systems with parameter uncertainty is considered. We develop a neuro adaptive controller with guaranteed stability by introducing a robust adaptive bound based on Lyapunov stability analysis. A radial-basis function type neural network is used in the paper. To show the effectiveness of the proposed controller, the nonlinear Van der Pol oscillator has been chosen as a case study. Simulation results are very promising