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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/23830

Title: Optimal control of chaotic systems with input saturation using an input-state linearization scheme
Authors: Chyun-Chau Fuh
Contributors: NTOU:Department of Mechanical and Mechatronic Engineering
Keywords: Chaos;Control;Saturation;Feedback linearization;Nelder–Mead simplex algorithm
Date: 2009-08
Issue Date: 2011-10-20T08:08:24Z
Publisher: Communications in Nonlinear Science and Numerical Simulation
Abstract: Abstract:Chaos is undesirable in many engineering applications since it causes a serious degradation of the system performance and restricts the system’s operating range. Therefore, the problem of controlling chaos has attracted intense interest in recent years. This paper proposes an approach for optimizing the control of chaotic systems with input saturation using an input-state linearization scheme. In the proposed approach, the optimal system gains are identified using the Nelder–Mead simplex algorithm. This algorithm does not require the derivatives of the cost function (or the performance index) to be optimized, and is therefore particularly applicable to problems with undifferentiable elements or discontinuities. Two numerical simulations are performed to demonstrate the feasibility and effectiveness of the proposed method.
Relation: 14(8), pp.3424–3431
URI: http://ntour.ntou.edu.tw/handle/987654321/23830
Appears in Collections:[機械與機電工程學系] 期刊論文

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