首页> 外文期刊>力学学报:英文版 >CONSTRUCTION OF POLYNOMIAL MATRIX USING BLOCK COEFFICIENT MATRIX REPRESENTATION AUTO-REGRESSIVE MOVING AVERAGE MODEL FOR ACTIVELY CONTROLLED STRUCTURES
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CONSTRUCTION OF POLYNOMIAL MATRIX USING BLOCK COEFFICIENT MATRIX REPRESENTATION AUTO-REGRESSIVE MOVING AVERAGE MODEL FOR ACTIVELY CONTROLLED STRUCTURES

机译:主动控制结构的块系数矩阵表示自回归移动平均模型构造多项式矩阵

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摘要

The polynomial matrix using the block coefficient matrix representation auto-regressive moving average (referred to as the PM-ARMA) model is constructed in this paper for actively controlled multi-degree-of-freedom (MDOF) structures with time-delay through equivalently transforming the preliminary state space realization into the new state space realization. The PM-ARMA model is a more general formulation with respect to the polynomial using the coefficient representation auto-regressive moving average (ARMA) model due to its capability to cope with actively controlled structures with any given structural degrees of freedom and any chosen number of sensors and actuators. (The sensors and actuators are required to maintain the identical number.) under any dimensional stationary stochastic excitation.
机译:本文通过等效变换,利用时滞的主动控制多自由度(MDOF)结构,构造了使用块系数矩阵表示自回归移动平均(称为PM-ARMA)模型的多项式矩阵。将初步的状态空间实现转换为新的状态空间实现。 PM-ARMA模型相对于使用系数表示自回归移动平均值(ARMA)模型的多项式而言,是一种更通用的表示法,因为它具有处理任意给定结构自由度和任意选定数量的主动控制结构的能力。传感器和执行器。 (在任何尺寸的固定随机激励下,(传感器和执行器必须保持相同的数量。)

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