Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2017, Article ID 3835616, 9 pages
Research Article

Control of Chaos Using the Controller Identification Technique

Department of Mathematics and Statistics, Federal University of Pelotas, Campus Universitário, No. 354, 96010-900 Pelotas, RS, Brazil

Correspondence should be addressed to Alexandre Molter; rb.moc.oohay@retlom.erdnaxela

Received 10 July 2017; Revised 18 October 2017; Accepted 22 October 2017; Published 14 November 2017

Academic Editor: Jonathan N. Blakely

Copyright © 2017 Alexandre Molter and Fabricio B. Cabral. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Modeling and simulation of chaotic system with dynamic control have been extensively presented in the past decades. Several control techniques have been proposed for the control of chaos. One technique that has not been sufficiently explored for the control of nonlinear systems is the controller identification technique. This technique is based on the evaluation of controllers even if they are not online. This technique does not use a priori knowledge of the plant parameters. In this work, we propose a class of controllers candidates to follow desired trajectories. Simulation results are presented for the control of chaotic systems.