Optimal Learning Tracking Control for Nonlinear Systems

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Please use this identifier to cite or link to this item: http://163.15.40.127/ir/handle/987654321/1469

Title:	Optimal Learning Tracking Control for Nonlinear Systems
Authors:	Tsai, J.S.H. Chen, G..R. Lin, C.Y. Guo, S.M. Tsai, T.-J. 蔡宗吉 (東方技術學院電機工程系)
Contributors:	東方技術學院電機工程系
Keywords:	Nonlinear System Learning Control Optimal Control Pole Placement
Date:	2008-06-29
Issue Date:	2012-12-24 15:50:31 (UTC+8)
Publisher:	Orlando, Florida, USA: International Institute of Informatics and Systemics
Abstract:	In this paper, an improved-type learning control mechanism is proposed to design an optimal tracker for a nonlinear system. Even without the detailed information on the system, the proposed mechanism also yields the optimal learning tracker. In order to achieve the output tracking design, the optimal linearized models of the nonlinear system at operating states are obtained by the optimal linearization approach, so that the well-designed learning mechanism for linear systems can be extended to the nonlinear case. How the eigenspectrums of inearized models significantly affect the effectiveness of the optimal learning control mechanism has been investigated in this paper, and the pole placement method is used to improve the drawback of learning control. Illustrative examples are presented to demonstrate the effectiveness of the proposed methodology.
Relation:	The 12th World Multi-Conference on Systemics, Cybernetics and Informatics: Conference program World Multi-Conference on Systemics, Cybernetics and Informatics WMSCI 2008
Appears in Collections:	[Department of Electronics Engineering and Computer Science] conference

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