Applications of the Volterra Models in Nonlinear Systems Identification

摘要

Kernels estimation techniques using adaptive methods are considered in the paper. A third order nonlinear system with memory was identified using the LMS adaptive algorithm for Volterra kernels estimation. Finally the model performances were appreciated by means of the model response to different input signals consisting of sine waves and white gaussian noise function.