Gradient Descent and Recursive Least Squares Learning Algorithms for On Line Identification of Hammerstein Systems using Recurrent Neural Network Models. - Andrzej Janczak (NC, 1998)

Fault detection and isolation in Wiener systems with inverse model of static nonlinear element. - Andrzej Janczak (ECC, 1999)

On identification of Wiener systems based on a modified serial-parallel model. - Andrzej Janczak (ECC, 2001)

Instrumental variables approach to identification of polynomial wiener systems. - Andrzej Janczak (ECC, 2003)

Comparison of four gradient-learning algorithms for neural network Wiener models. - Andrzej Janczak (Int. J. Syst. Sci., 2003)

Subspace approach to identification of linear repetitive processes. - Andrzej Janczak; Dominik Kujawa (nDS, 2009)

Parametric identification of Wiener systems with invertible nonlinearities. - Andrzej Janczak (MMAR, 2013)

Least Squares and Instrumental Variables Identification of Polynomial Wiener Systems. - Andrzej Janczak (MMAR, 2018)

Two-Stage Instrumental Variables Identification of Polynomial Wiener Systems with Invertible Nonlinearities. - Andrzej Janczak; Józef Korbicz (Int. J. Appl. Math. Comput. Sci., 2019)