Skip to main content
Article thumbnail
Location of Repository

Modeling of system motors with flexible component

By Aleš Lebeda


This thesis deals with problem of experimental identification using principles of artificial intelligence and development of nonlinear models. It shows how to estimate parameters of nonlinear models and it compares different types of nonlinear models based on analytical analysis which were developed from measured data in simulation and real system motors with flexible component

Topics: nonlinear least square; linearizace; neural networks; gradient-based algorithms; identifikace; nonlinear optimization; neuronové sítě; polynomial models; nelineární optimizace; linearization; identification; gradientní metody; polynomiální modely; nelineární nejmenší čtverce
Publisher: Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
Year: 2012
OAI identifier:
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • (external link)
  • Suggested articles

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.