A New Semi-Discretization of the Fully Clamped Euler-Bernoulli Beam Preserving Boundary Observability Uniformly

IF 2.4 Q2 AUTOMATION & CONTROL SYSTEMS IEEE Control Systems Letters Pub Date : 2024-12-17 DOI:10.1109/LCSYS.2024.3519379
Ahmet Kaan Aydin;Md Zulfiqur Haider;Ahmet Özkan Özer
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Abstract

This letter extends a Finite Difference model reduction method to the Euler-Bernoulli beam equation with fully clamped boundary conditions. The corresponding partial differential equation (PDE) is exactly observable in the energy space with a single boundary observer in arbitrarily short observation times. However, standard Finite Difference spatial discretization fails to achieve uniform exact observability as the mesh parameter approaches zero, with minimal observation time potentially depending on the filtering parameter. To address this, we propose a Finite Difference algorithm incorporating an averaging operator and discrete multipliers, leveraging Haraux’s theorem on the spectral gap to ensure uniform observability. This approach eliminates the need for artificial viscosity or Fourier filtering. Our method achieves uniform observability for arbitrarily small times with dual observers-the tip moment and average tip velocity-mirroring results from mixed Finite Elements applied to the wave equation with homogeneous Dirichlet boundary conditions, where dual controllers converge to the single controller of the PDE model [Castro, Micu-Numerische Mathematik’06]. Our reduced model is applicable to more complex systems involving Euler-Bernoulli beam equations.
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全钳位欧拉-伯努利梁的新半离散化,均匀保留边界可观测性
本文将有限差分模型约简方法扩展到具有完全箝位边界条件的欧拉-伯努利梁方程。在任意短的观测时间内,单个边界观测者在能量空间中精确观测到相应的偏微分方程。然而,当网格参数趋近于零时,标准有限差分空间离散化无法实现均匀精确的可观测性,最小的观测时间可能取决于滤波参数。为了解决这个问题,我们提出了一种包含平均算子和离散乘子的有限差分算法,利用光谱间隙上的Haraux定理来确保均匀的可观测性。这种方法消除了人工粘度或傅立叶滤波的需要。我们的方法在任意小时间内实现了双观测器的均匀可观测性——叶尖力矩和平均叶尖速度——将混合有限元应用于具有齐次Dirichlet边界条件的波动方程的镜像结果,其中双控制器收敛于PDE模型的单控制器[Castro, Micu-Numerische Mathematik ' 06]。我们的简化模型适用于涉及欧拉-伯努利梁方程的更复杂的系统。
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来源期刊
IEEE Control Systems Letters
IEEE Control Systems Letters Mathematics-Control and Optimization
CiteScore
4.40
自引率
13.30%
发文量
471
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