Logo PTI
Polish Information Processing Society
Logo FedCSIS

Annals of Computer Science and Information Systems, Volume 11

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems

Modelling and identification of linear discrete systems using least squares method

, , , ,

DOI: http://dx.doi.org/10.15439/2017F406

Citation: Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 11, pages 891894 ()

Full text

Abstract. In control applications, we often encounter systems that respond to the change of control signal in an undesirable way. To adjust system output, there arises the need to know system parameters, so the identification has to be performed. The aim of this paper is to compare upstanding identification error that is the consequence of dataset size, input signal type, and quantization error occurring in the signal. The experimental part of this paper presents the results measured on the real device and shows the identification results.


  1. Karpiš O., Miček J., Olešnaníková V.: Using of compressed sensing in energy sensitive WSN applications FedCSIS 2015, September 13-16, Lodz, Poland. - ISBN 978-83-60810-65-1. - pp. 1233-1238, http://dx.doi.org/10.15439/2015F167.
  2. Skovranek T., Despotovic V.: Identification of Systems of Arbitrary Real Order: A New Method Based on Systems of Fractional Order Differential Equations and Orthogonal Distance Fitting, ASME 2009 Inter. Design En. Tech. Conf. and Computers and Information in Engineering Conference, pp. 1063-1068, 2009.
  3. McKelvey T.: Least Squares and Instrumental Variable Methods, Control Systems, Robotics, and Automation, in EOLSS, Developed under the auspices of the UNESCO 2004.
  4. Guo W.: Modelling and Simulation of a Capacitive Micro-Accelerometer System, Proceedings of the 33rd Chinese Control Conference July, Nanjing, China, 2014
  5. Švarc I., Matoušek R., Šeda M., Vítečková M.: Automatické řízení, Brno: CERM, ISBN: 978-80-214-4398-3, 2011.
  6. Golan J.: Moore-Penrose pseudoinverses, The linear algebra a beginning graduate student ought to know, Springer Netherlands, pp. 441-452, 2012.
  7. Miček J., Jurečka M.: Moderné prostriedky implementácie metód číslicového spracovania signálov 1, Žilina: EDIS, ISBN: 978-80-554-0714-2, 2013.