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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/34237

Title: Adaptive control and synchronization of a class of chaotic systems in which all parameters are unknown
Authors: Chyun-Chau Fuh;Hsun-Heng Tsai
Contributors: NTOU:Department of Mechanical and Mechatronic Engineering
Keywords: chaos, adaptive control, synchronization, Nelder-Mead simplex algorithm.
Date: 2013-04
Issue Date: 2013-10-07T02:08:00Z
Publisher: 2013 IEEE Symposium on Computational Intelligence in Control and Automation (CICA 2013)
Abstract: This paper proposes an adaptive algorithm for the control and synchronization of a class of second order chaotic systems which exact dynamics or parameters are unknown in priori. The proposed control scheme includes a feedback controller and a feedforward compensator. Both the gains of the controller and the compensator are updated by an adaptation algorithm derived from Model Reference Adaptive Control (MRAC) theory. In the proposed approach, the optimal adaptation gains are identified using the Nelder-Mead simplex algorithm. This algorithm does not require the derivatives of the performance index to be optimized, and is therefore particularly applicable to complex systems or problems with undifferentiable elements, discontinuities or uncertainties. The feasibility and effectiveness of the proposed approach are demonstrated by way of numerical simulations using general Duffing’s systems for illustration purposes.
Relation: 16-19, pp.127-131
URI: http://ntour.ntou.edu.tw/handle/987654321/34237
Appears in Collections:[機械與機電工程學系] 期刊論文

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