Model reduction using balance-truncation method with lower error bounds

S. Chow, V. Rao
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引用次数: 1

Abstract

A modified balance-truncation reduced-order model is developed by introducing a weighting factor which provides an extra degree of freedom in emphasizing the relative magnitude of the model reduction errors at low and high frequencies. The maximum model reduction error can be reduced to a lower value by an appropriate choice of the weighting factor. The direct model of B.C. Moore (1982) and the singular perturbation approximation method will become two special cases in the modified technique. A stability criterion for the reduced-order model and a procedure for selection of the weighting factor are developed. The formulae for the L/sub infinity /-norm error bound on the reduction at zero and infinite frequencies are also derived. The proposed model reduction method is demonstrated by designing lower-order controllers for a Phillips Laboratory experimental flexible grid structure.<>
基于低误差界的平衡截断法的模型约简
通过引入一个加权因子,开发了一个改进的平衡截断降阶模型,该加权因子在强调低频率和高频率下模型降阶误差的相对大小方面提供了额外的自由度。通过适当选择权重因子,可以将模型最大约简误差降低到一个较低的值。bc . Moore(1982)的直接模型和奇异摄动近似法将成为修正技术中的两个特例。给出了降阶模型的稳定性判据和加权因子的选取方法。并推导了零频率和无限频率下约简的L/次无穷/范数误差界的公式。通过设计菲利普斯实验室实验柔性网格结构的低阶控制器,验证了所提出的模型约简方法。
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