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Increasing Eigenstructure Assignment Design Degree of Freedom using Lifting

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Taylor & Francis Group2016-09-20 更新2026-04-16 收录
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https://tandf.figshare.com/articles/dataset/Increasing_Eigenstructure_Assignment_Design_Degree_of_Freedom_using_Lifting/3840777/1
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资源简介:
This paper presents the exposition of an output-lifting eigenstructure assignment (EA) design framework, wherein the available EA design degrees of freedom (DoF) is significantly increased, and the desired eigenstructure of a single-rate full state feedback solution can be achieved within an output feedback system. A structural mapping is introduced to release the output-lifting causality constraint. Additionally, the available design DoF can be further enlarged via involving the input-lifting into the output-lifting EA framework. The newly induced design DoF can be utilised to calculate a structurally-constrained, causal gain matrix which will maintain the same assignment capability. In this paper, the robustification of the output-lifting EA is also proposed, which allows a trade-off between performance and robustness in the presence of structured model uncertainties to be established. A lateral flight control benchmark in the EA literature and a numerical example are used to demonstrate the effectiveness of the design framework.
提供机构:
T. Clarke; L. Chen; A.J. Pomfret
创建时间:
2016-09-20
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