Volume 15, Issue 3 (Journal of Control, V.15, N.3 Fall 2021)
JoC 2021, 15(3): 55-67 |
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Ferdowsi H, Hashemi M. Adaptive neural control of nonlinear fractional order multi- agent systems in the presence of error constraintion. JoC 2021; 15 (3) :55-67
URL: http://joc.kntu.ac.ir/article-1-757-en.html
URL: http://joc.kntu.ac.ir/article-1-757-en.html
1- Islamic Azad University Najafabad Branch
Abstract: (4948 Views)
In this paper, the problem of fractional order multi-agent tracking control problem is considered. Uncertainties, error constraints, transient response suitability and desirable response tracking problems are the challenges in this study. Because of these problems and challenges, the adaptive control and Neural Networks approximators approaches are used in this study. In the first part of this article, the fractional order multi-agent systems are investigated with unknown parameters in the presence of error constraints. Then, a controller is designed on the basis of adaptive control and dynamic surface control so that the control objective of pursuing the desired output is achieved in the presence of the required constraints. The effective performance of the proposed controller is demonstrated by simulation by MATLAB software.
Keywords: Fractional- order dynamics, Multi-agent nonlinear systems, Unknown parameter, Neural Networks, Adaptive control
Type of Article: Research paper |
Subject:
Special
Received: 2020/04/16 | Accepted: 2021/01/14 | ePublished ahead of print: 2021/02/28 | Published: 2021/12/1
Received: 2020/04/16 | Accepted: 2021/01/14 | ePublished ahead of print: 2021/02/28 | Published: 2021/12/1
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