ISSI Institute of Control & Computation Engineering


Assoc. Prof. Andrzej Janczak, Ph. D., D.Sc.

Phone : +48 68 328 2384
E-mail :
Room: 326



  • Nonlinear system identification. Parameter estimation of Wiener and Hammerstein systems
  • Artificial neural networks in system control and identification. Gradient and evolutionary training algorithms for Wiener and Hammerstein systems
  • Identification os linear repetitive processes using subspace methods


  • Control theory
  • System identification
  • Control engineering equipment
  • Artificial neural networks


  • Subspace identification of process dynamica for iterative learning control
    Janczak A., Kujawa D., Rogers E., Cai Z. - Proc. 8th International Workshop on Multidimensional Systems - nDS' 13, Erlangen, Germany, 9-11 Sept. 2013, Berlin, VDE VERLAG GMBH, pp. 39--44, CD-ROM
  • Parametric identification of Wiener systems with invertible nonlinearities
    Janczak A. - Proc. Methods and Models in Automation and Robotics - MMAR 2013 - 18th International Conference,. Międzyzdroje, Polska, Poland, Aug. 26-29, 2013, pp. 132--137, CD-ROM
  • Subspace approach to identification of linear repetitive processes
    Janczak A., Kujawa D. - Proc. 2009 Int. Workshop on Multidimensional (nD) Systems - Thessaloniki, Grece, June 29-July 1, 2009, pp. 120-123, CD-ROM
  • Neural network modeling of a DC motor for bidirectional operation
    Janczak A. - In: Rutkowski L., Tadeusiewicz R., Zadeh L. A., Zurada J. (Eds): Computational Intelligence: Methods and Applications. Challenging Problems of Science: Computer Science - Academic Publishing House EXIT, Warsaw, 2008, pp. 24-33
  • Instrumental variables approach to identification of a class of MIMO Wiener systems
    Janczak A. - Nonlinear Dynamics, 2007, Vol. 48, No. 3, pp. 275-284
  • Identification of Nonlinear Systems Using Neural Networks and Polynomial Models. A Block-Oriented Approach
    Janczak A. - Lecture Notes in Control and Information Sciences, Vol. 310, Springer-Verlag, Berlin, Heidelberg, 2005, 199 p.