New Non-Lyapunov Approach to Robust Eigenvalue-Clustering Analysis
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概要
- 論文の詳細を見る
In this work, a new non-Lyapunov approach is presented to investigate the robustness problem of eigenvalue-clustering in a specified region for linear systems subjected to parameter perturbations. Based on the essential properties of matrix measures, we propose some new sufficient conditions to ensure that the system's eigenvalues cluster in a specified region irrespective of the system perturbations. By mathematical analysis, the presented non-Lyapunov criteria are proved to be less conservative than the existing non-Lyapunov ones reported recently.
- 一般社団法人日本機械学会の論文
- 2001-06-15
著者
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Chen Shinn-horng
Department Of Mechanical Engineering National Kaohsiung Institute Of Technology
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Yao Wenlong
Department Of Mechanical And Automation Engineering National Kaohsiung First University Of Science A
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Chou Jyh-horng
Department Of Mechanical And Automation Engineering National Kaohsiung First University Of Science A
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Chou Jyhhorng
Department Of Mechanical And Automation Engineering National Kaohsiung First University Of Science A
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CHEN ShinnHorng
Department of Mechanical Engineering, National Kaohsiung University of Applied Sciences
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FU TsowChang
Department of Mechanical and Automation Engineering, National Kaohsiung First University of Science
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Chen Shinnhorng
Department Of Mechanical Engineering National Kaohsiung University Of Applied Sciences
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Fu Tsowchang
Department Of Mechanical And Automation Engineering National Kaohsiung First University Of Science A
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Yao Wen-Long
Department of Mechanical and Automation Engineering, National Kaohsiung First University of Science and Technology
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