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Andrzej Janczak
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Year
Identification of nonlinear systems using neural networks and polynomial models: a block-oriented approach
A Janczak
Springer Science & Business Media, 2004
2712004
Neural network approach for identification of Hammerstein systems
A Janczak
International Journal of Control 76 (17), 1749-1766, 2003
552003
Instrumental variables approach to identification of a class of MIMO Wiener systems
A Janczak
Nonlinear Dynamics 48, 275-284, 2007
402007
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
231996
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
121995
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
102019
Recurrent neural network models for identification of Wiener systems
A Janczak
Proc. CESA'98 IMACS Multiconference, 965-970, 1998
81998
Identification of Wiener models using recurrent neural networks
A Janczak
Proc. 4th Int. Symp. Methods and Models in Automation and Robotics MMAR'97 …, 1997
81997
Identification of Wiener and Hammerstein systems with neural network and polynomial models: methods and applications
A Janczak
University of Zielona Góra Press, 2003
72003
On identification of Wiener systems based on a modified serial-parallel model
A Janczak
2001 European Control Conference (ECC), 1852-1857, 2001
72001
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
62013
Comparison of four gradient-learning algorithms for neural network Wiener models
A Janczak
International Journal of Systems Science 34 (1), 21-35, 2003
62003
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
61999
Subspace approach to identification of linear repetitive processes
A Janczak, D Kujawa
2009 International Workshop on Multidimensional (nD) Systems, 1-4, 2009
52009
Least squares identification of Wiener systems
A Janczak
Proceedings of the 6th International Conference MMAR, 933-939, 2000
52000
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
51998
Recursive identification of Hammerstein systems using recurrent neural models
A Janczak
Proc. 3rd Conf. Neural Networks and their Applications, Kule, Poland, 517-522, 1997
51997
Fault detection and isolation in Wiener systems with inverse model of static nonlinear element
A Janczak
1999 European Control Conference (ECC), 4249-4254, 1999
41999
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
41999
Identification of linear repetitive processes using subspace algorithms
A Janczak, D Kujawa
2010 15th International Conference on Methods and Models in Automation and …, 2010
32010
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