Upper Estimates of the Deviations in Linear Dynamical Systems Subjected to Uncertainty

Upper Estimates of the Deviations in Linear Dynamical Systems Subjected to Uncertainty
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受不确定性影响的线性动力系统偏差的上限估计

DOI:
10.1109/icarcv.2018.8581300
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发表时间:
2018
期刊:
2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)
影响因子:
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通讯作者:
M. Khlebnikov
M. Khlebnikov
中科院分区:
--
文献类型:
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作者:
M. Khlebnikov

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在这篇演讲中,线性动力系统的不确定性的系统矩阵被认为是。利用线性矩阵不等式技巧,我们得到了线性系统的偏差的上界。提出了一种基于LMI的稳定反馈方法,保证了“尽可能小”的偏差。数值模拟的结果表明,所获得的界限的保守性低。
In this talk, the linear dynamical system subjected to uncertainty in the system matrix is considered. Using the linear matrix inequality technique we obtain the upper bounds for the deviations in linear systems. An LMI-based stabilizing feedback procedure is proposed which guarantees “as small as possible” deviations. The results of numerical simulations demonstrate the low conservatism of the obtained bounds.