Exponential Reduced-Order Observers for Nonlinear Systems Satisfying Incremental Quadratic Constraints

被引:0
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作者
Younan Zhao
Wei Zhang
Wuyang Zhang
Fang Song
机构
[1] Shanghai University of Engineering Science,Laboratory of Intelligent Control and Robotics
[2] Huazhong University of Science and Technology,MOE Key Laboratory of Image Processing and Intelligence Control
[3] Harbin Institute of Technology,State Key Laboratory of Robotics and System
关键词
Observer design; Nonlinear systems; Reduced-order observers; Incremental quadratic constraints; Linear matrix inequalities;
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摘要
This paper considers the design problem of exponential reduced-order observers for nonlinear systems satisfying incremental quadratic constraints governed by an incremental multiplier matrix. Sufficient existence conditions of the exponential full-order observers are established and formulated in terms of matrix inequalities. Then, it is shown that the conditions under which an exponential full-order observer exists also guarantee the existence of an exponential reduced-order observer. Moreover, with a proper parameterization of the multiplier matrix, the design of reduced-order observers is reduced to solving linear matrix inequalities of the Lyapunov matrix and observer gain matrices. Finally, the effectiveness of the proposed design method is illustrated by an example.
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页码:3725 / 3738
页数:13
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