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Abstract
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Article Information:
Intelligent Decentralized Adaptive Controller Design for a Class of Large Scale Nonlinear Non-affine Systems: Nonlinear Observer-based Approach
Reza Ghasemi, Sadjad Asad Beigi and Mohammad Bagher Menhaj
Corresponding Author: Reza Ghasemi
Submitted: September 10, 2012
Accepted: October 09, 2012
Published: December 25, 2013 |
Abstract:
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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.
Key words: Adaptive control, fuzzy system, large scale systems, non-affine nonlinear systems, nonlinear observer, stability,
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Cite this Reference:
Reza Ghasemi, Sadjad Asad Beigi and Mohammad Bagher Menhaj, . Intelligent Decentralized Adaptive Controller Design for a Class of Large Scale Nonlinear Non-affine Systems: Nonlinear Observer-based Approach. Research Journal of Applied Sciences, Engineering and Technology, (24): 4524-4530.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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