| Identification of nonlinear systems using neural networks and polynomial models: a block-oriented approach A Janczak Springer Science & Business Media, 2004 | 271 | 2004 |
| Neural network approach for identification of Hammerstein systems A Janczak International Journal of Control 76 (17), 1749-1766, 2003 | 55 | 2003 |
| Instrumental variables approach to identification of a class of MIMO Wiener systems A Janczak Nonlinear Dynamics 48, 275-284, 2007 | 40 | 2007 |
| A neural network approach to identification of structural systems J Korbicz, A Janczak Proceedings of IEEE International Symposium on Industrial Electronics 1, 98-103, 1996 | 23 | 1996 |
| Identification of a class of nonlinear systems using neural networks A Janczak Proc. 2nd Int. Symp. Methods and Models in Automation and Robotics MMAR'95 …, 1995 | 12 | 1995 |
| Two–Stage Instrumental Variables Identification of Polynomial Wiener Systems with Invertible Nonlinearities A Janczak, J Korbicz International Journal of Applied Mathematics and Computer Science 29 (3 …, 2019 | 10 | 2019 |
| Recurrent neural network models for identification of Wiener systems A Janczak Proc. CESA'98 IMACS Multiconference, 965-970, 1998 | 8 | 1998 |
| Identification of Wiener models using recurrent neural networks A Janczak Proc. 4th Int. Symp. Methods and Models in Automation and Robotics MMAR'97 …, 1997 | 8 | 1997 |
| Identification of Wiener and Hammerstein systems with neural network and polynomial models: methods and applications A Janczak University of Zielona Góra Press, 2003 | 7 | 2003 |
| On identification of Wiener systems based on a modified serial-parallel model A Janczak 2001 European Control Conference (ECC), 1852-1857, 2001 | 7 | 2001 |
| Subspace identification of process dynamics for iterative learning control A Janczak, E Rogers, Z Cai nDS'13; Proceedings of the 8th International Workshop on Multidimensional …, 2013 | 6 | 2013 |
| Comparison of four gradient-learning algorithms for neural network Wiener models A Janczak International Journal of Systems Science 34 (1), 21-35, 2003 | 6 | 2003 |
| Neural network models of Hammerstein systems and their application to fault detection and isolation A Janczak, J Korbicz IFAC Proceedings Volumes 32 (2), 7766-7771, 1999 | 6 | 1999 |
| Subspace approach to identification of linear repetitive processes A Janczak, D Kujawa 2009 International Workshop on Multidimensional (nD) Systems, 1-4, 2009 | 5 | 2009 |
| Least squares identification of Wiener systems A Janczak Proceedings of the 6th International Conference MMAR, 933-939, 2000 | 5 | 2000 |
| Gradient Descent and Recursive Least Squares Learning Algorithms for On Line Identification of Hammerstein Systems using Recurrent Neural Network Models. A Janczak NC, 565-571, 1998 | 5 | 1998 |
| Recursive identification of Hammerstein systems using recurrent neural models A Janczak Proc. 3rd Conf. Neural Networks and their Applications, Kule, Poland, 517-522, 1997 | 5 | 1997 |
| Fault detection and isolation in Wiener systems with inverse model of static nonlinear element A Janczak 1999 European Control Conference (ECC), 4249-4254, 1999 | 4 | 1999 |
| Parameter estimation based fault detection and isolation in Wiener and Hammerstein systems A Janczak International Journal of Applied Mathematics and Computer Science 9 (3), 711-735, 1999 | 4 | 1999 |
| Identification of linear repetitive processes using subspace algorithms A Janczak, D Kujawa 2010 15th International Conference on Methods and Models in Automation and …, 2010 | 3 | 2010 |
