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     Research Journal of Applied Sciences, Engineering and Technology


Intelligent Decentralized Adaptive Controller Design for a Class of Large Scale Nonlinear Non-affine Systems: Nonlinear Observer-based Approach

1Reza Ghasemi, 1Sadjad Asad Beigi and 2Mohammad Bagher Menhaj
1Department of Electrical Engineering, Damavand Branch, Islamic Azad University, Damavand, Tehran, Iran
2Department of Electrical Engineering, AmirKabir University of Technology, Tehran, Iran
Research Journal of Applied Sciences, Engineering and Technology  2013  24:4524-4530
http://dx.doi.org/10.19026/rjaset.6.3461  |  © The Author(s) 2013
Received: September 10, 2012  |  Accepted: October 09, 2012  |  Published: December 25, 2013

Abstract

In this study, an observer based decentralized Fuzzy Adaptive Controller (FAC) is designed for a class of large scale non-affine nonlinear systems with unknown functions of the subsystems and interactions. The proposed controller has the following main characteristics: 1) On-line adaptation of both controller and observer parameters, 2) stabilization of the closed loop system, 3) convergence of both tracking and observer errors to zero, 4) boundedness of all signals involved, 5) being prone to employing experts’ knowledge in controller design procedure, 6) chattering avoidance. An illustrative example is given to show the promising performance of the proposed method.

Keywords:

Adaptive control, fuzzy system, large scale systems, non-affine nonlinear systems, nonlinear observer, stability,


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
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