Nonlinear System Identification Using Hammerstein-Wiener Neural Network and subspace algorithms

Maryam Ashtari Mahini; Mohammad Teshnehlab; Mojtaba Ahmadieh khanehsar

Volume 1, Issue 3 , August 2015, , Pages 1-8

  Neural networks are applicable in identification systems from input-output data. In this report, we analyze theHammerstein-Wiener models and identify them. TheHammerstein-Wiener systems are the simplest type of block orientednonlinear systems where the linear dynamic block issandwiched in between two ...  Read More