ISSI Institute of Control & Computation Engineering


Assoc. Prof. Marcin Mrugalski, Ph. D., D.Sc.

Phone : +48 68
E-mail :
Room: 327b
Website :



  • Parameter estimation methods (LMS, BEA, OBE, Zonotope)
  • GMDH neural networks
  • Neural networks based modelling of nonlinear systems
  • Unscented Kalman Filter
  • Diagnostics of industrial processes
  • Robust fault detection


  • Computer Networks (CISCO Local Academy Instructor)
  • Computer architecture
  • Wireless networks
  • Design of computer networks
  • Convergent networks


  • A neural network approach to simultaneous state and actuator fault estimation under unknown input decoupling
    Witczak P., Patan K., Witczak W., Mrugalski M. - Neurocomputing, 2017, Vol. 250, pp. 65-75
  • Advanced neural network-based computational schemes for robust fault diagnosis
    M. Mrugalski, Berlin - Heidelberg, Springer-Verlag, 2014, 182 s. (Ed. J. Kacprzyk), Studies in Computational Intelligence, Vol. 510.
  • A quadratic boundedness approach to a neural network-based simultaneous estimation of actuator and sensor faults
    Pazera M., Buciakowski M., Witczak W., Mrugalski M. - Neural Computing and Applications, 2018, pp. 1-11.
  • Towards Robust Neural-Network-Based Sensor and Actuator Fault Diagnosis: Application to a Tunnel Furnace
    Witczak M., Mrugalski M., Korbicz J. - Neural Processing Letters, 2015, Vol. 42, issue 1, pp. 71-87
  • Neural network-based robust actuator fault diagnosis for a non-linear multi-tank system
    Mrugalski M., Luzar M., Pazera M., Witczak M., Aubrun Ch. - ISA Transactions, 2016, Vol. 61, pp. 318-328
  • A quadratic boundedness approach to robust DC motor fault estimation
    Buciakowski M., Witczak M., Mrugalski M., Theilliol D. - Control Engineering Practice, 2017, Vol. 66, pp. 181-194