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Balancing robustness and optimality in sensor placement for dynamic state estimation

机译:平衡传感器放置的鲁棒性和最优性,以进行动态状态估计

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The paper derives a Lyapunov equation whose solution is the sensitivity of the Kalman filter state error covariance matrix to structured and parametric model errors in the stiffness and damping of structural systems. This result is utilized to propose an expression to balance optimality and robustness for sensor placement in the presence of parametric model uncertainties. The proposed expressions are successfully verified and illustrated using a six-story steel moment-resisting frame subjected to a ground motion in the presence of uncertainty in element and support stiffness properties. (C) 2019 Elsevier Ltd. All rights reserved.
机译:本文推导了一个Lyapunov方程,其解是卡尔曼滤波器状态误差协方差矩阵对结构系统的刚度和阻尼中结构化和参数化模型误差的敏感性。利用该结果可以提出一种表达式,以在存在参数模型不确定性的情况下平衡传感器放置的最优性和鲁棒性。在单元和支撑刚度特性不确定的情况下,采用六层钢抗力矩框架进行地震动,成功地验证了所提出的表达式。 (C)2019 Elsevier Ltd.保留所有权利。

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