Mariana Ballesteros1, Andrey Polyakov2, Denis Efimov3, Isaac Chairez4, Alexander S. Poznyak5
14:50 - 15:10 | Wed 4 Sep | Room FH 3 | WeD3.2
In this paper, a non parametric identifier for homogeneous nonlinear systems affine in the input is proposed. The identification algorithm is based on the neural networks using sigmoidal activation functions. The learning algorithm is derived by means of Lyapunov function method and homogeneity theory. A numerical example demonstrates the performance of the proposed identifier.