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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/26291

Title: MULTI-OBJECTIVE CONTROL DESIGN FOR STOCHASTIC LARGE-SCALE SYSTEMS BASED ON LMI APPROACH AND SLIDING MODE CONTROL CONCEPT
Authors: Koan-Yuh Chang;Wen-Jer Chang
Contributors: 國立臺灣海洋大學:輪機工程學系
Keywords: stochastic large-scale systems;sliding mode control;upper bound covariance control;pole placement and linear matrix inequality approach
Date: 2008
Issue Date: 2011-10-20T08:34:41Z
Publisher: Journal of Marine Science and Technology
Abstract: Abstract:In this paper, a controller u (t) i is designed for stochastic large-scale systems to achieve the following three objectives simultaneously: the pole placement constraint, ∞ H norm constraint and individual state variance constraint. In terms of the invariance property of sliding mode control, both the uncertain interconnection terms and an unknown nonlinear function will disappear on the sliding mode. Then, with the aid of upper bound covariance control theory, pole placement skill and ∞ H norm control theory, a controller, in which the control feedback gain matrix i G is synthesized using linear matrix inequality approach, is derived to achieve the above multiple objectives. Finally, a simulation example is presented to illustrate the proposed method.
Relation: 16(3), pp.197-206
URI: http://ntour.ntou.edu.tw/handle/987654321/26291
Appears in Collections:[輪機工程學系] 期刊論文

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