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Balancing robustness and optimality in sensor placement for dynamic state estimation

机译:用于动态状态估计的传感器放置中的鲁棒性和最优性

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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:该纸张推出了Lyapunov方程,其解决方案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的结构化和参数模型误差的敏感性。该结果用于提出在参数模型不确定性的存在下平衡传感器放置的最优性和鲁棒性的表达。通过在元件和支撑刚度特性存在不确定性的情况下,使用六层钢力矩抵抗框架成功验证和说明了提出的表达。 (c)2019 Elsevier Ltd.保留所有权利。

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