Nonlinear System Identification based on Volterra and Laguerre Models

This paper adressed nonlinear system identification problem using Volterra models. First, an approach is established to identify Volterra models using “Plant-friendly” input sequence with define properties. Second, we focus on the parametric complexity problem. As a solution, Volterra kernels are projected onto Laguerre basis resulting a reduced Volterra-Laguerre models. The efficiency of the proposed approach is illustrated according to a real system : the Two Tank System.