Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Research Journal of Applied Sciences, Engineering and Technology


Approach to Identification of a Second-Order Volterra Kernel of Nonlinear Systems by Tchebyshev Polynomials Method

Y.H. Wang and J.L. Han
Institute of Vibration Engineering Research, State Key Lab of Mechanics and Control for Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, P.R. China
Research Journal of Applied Sciences, Engineering and Technology  2013  20:4950-4955
http://dx.doi.org/10.19026/rjaset.5.4349  |  © The Author(s) 2013
Received: October 17, 2012  |  Accepted: December 10, 2012  |  Published: May 15, 2013

Abstract

In this study, we investigate the Tchebyshev polynomials expansion method for the kernels identification of nonlinear systems. In aerodynamic systems, all the output data to an arbitrary input may be obtained by executing the Computational Fluid Dynamic (CFD) program code. This calculation process may take more than several hours or days to complete. In comparison with the indicial or impulse methods our method is efficient, which does not need more output data for the identification of the second-order kernel by running CFD code repeatedly. This new approach may be applied to the aeroelastic problems. Two examples illustrate the whole process.

Keywords:

Kernels identification, tchebyshev polynomials expansion volterra series,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved