Skip to main navigation Skip to search Skip to main content

Nonlinear system identification using memetic algorithms

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

In the paper a unified approach to parametric nonlinear input-output dynamic system identification based on a memetic optimisation algorithm is presented. Efficiency of the presented approach is illustrated by a simulated identification of block-oriented nonlinear input-output dynamic systems. A focus on model identification for the case of very small as well as large number of input-output measurements is given.

Original languageEnglish
Title of host publication2015 20th International Conference on Methods and Models in Automation and Robotics, MMAR 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1086-1091
Number of pages6
ISBN (Electronic)9781479987016
DOIs
Publication statusPublished - 29 Sept 2015
Event20th International Conference on Methods and Models in Automation and Robotics, MMAR 2015 - Miedzyzdroje, Poland
Duration: 24 Aug 201527 Aug 2015

Publication series

Name2015 20th International Conference on Methods and Models in Automation and Robotics, MMAR 2015

Conference

Conference20th International Conference on Methods and Models in Automation and Robotics, MMAR 2015
Country/TerritoryPoland
CityMiedzyzdroje
Period24/08/1527/08/15

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering

Fingerprint

Dive into the research topics of 'Nonlinear system identification using memetic algorithms'. Together they form a unique fingerprint.

Cite this