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Web Application for Simple System Identification from Experimental Data

  • Frantisek Gazdos
  • Petr Micola
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 466)

Abstract

This paper presents a project for simple web-based system identification from experimental data. A user can upload input/output data from a process to be identified in three common file formats, the data can be filtered simply using two approaches and a structure of the identified model is user-controlled. The resultant discrete-time ARX model is obtained in a common form together with the possibility to assess quality of identification and to obtain also a continuous-time model. The developed application is built on the interconnection of the latest web technologies with the MATLAB computing system where the obtained results can be easily exported. The paper explains motivation for development of this site and gives also detailed description of the whole process including the Web—MATLAB interconnection. The results are presented using selected screen-shots of the application and discussed further.

Keywords

Web-application MATLAB System identification 

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Copyright information

© Springer International Publishing Switzerland 2016

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Authors and Affiliations

  1. 1.Faculty of Applied InformaticsTomas Bata University in ZlinZlinCzech Republic

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