Seminar第2036期 Static Output Feedback Design using Model Reduction Methods for Second-Order Systems

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数学系"60周年"系庆系列报告

报告主题:Static Output Feedback Design using Model Reduction Methods for Second-Order Systems

报告人:丛玉豪 教授 (上海海关学院)

报告时间:2020年10月30日(周五) 13:00

参会方式:腾讯 会议

会 议 ID:938 973 7719

主办部门:理学院数学系

报告摘要:In this report, the static output feedback design is investigated using model reduction methods for large-scale second-order systems. First, based on the second-order Krylov subspace method, a low dimensional structure-preserving second-order system is derived. Then, applying matrix transformation, the relationship between input variables and output variables is directly established in the low dimensional system. We design output feedback controller for this system. Finally, using the argument principle, a computable stability criterion is presented to check the stability of the closed-loop system. Furthermore, a numerical algorithm is provided to design the output feedback controller for large-scale second-order systems. Numerical examples are given to illustrate the effectiveness of the algorithms.

 

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