Hermite Expansion Technique for Model Reduction of Circuit Systems with Delay Components

IF 1.8 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Zhi-Yong Qiu, Zhen-Hua Guo, Yao-Lin Jiang, Ya-Qian Zhao, Ren-Gang Li
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Abstract

Model order reduction technique provides an effective way to reduce computational complexity in large-scale circuit simulations. This paper proposes a new model order reduction method for delay circuit systems based on Hermite expansion technique. The presented method consists of three steps i.e., first the delay elements are approximated using the recursive relation of Hermite polynomials, then in the second step, the reduced order is estimated for the delay circuit system using a delay truncation in the Hermite domain and in the third step, a multi-order Arnoldi process is computed for obtaining the projection matrix. In the following, the reduced order delay circuit model is obtained by the projection matrix. Moment matching and passivity properties of the reduced circuit system are also analyzed. Two circuit examples with delay components are performed to verify the effectiveness of the proposed MOR approach.

Abstract Image

利用赫米特展开技术减少带有延迟成分的电路系统模型
模型阶次缩减技术是降低大规模电路仿真计算复杂度的有效方法。本文提出了一种基于赫米特展开技术的延迟电路系统模型阶次缩减新方法。所提出的方法包括三个步骤,即首先利用 Hermite 多项式的递推关系对延迟元素进行近似,然后在第二步中,利用 Hermite 域中的延迟截断估算延迟电路系统的降阶,在第三步中,计算多阶 Arnoldi 过程以获得投影矩阵。下面,通过投影矩阵得到降阶延迟电路模型。此外,还分析了简化电路系统的矩匹配和无源特性。为了验证所提出的 MOR 方法的有效性,我们演示了两个带有延迟元件的电路示例。
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来源期刊
Circuits, Systems and Signal Processing
Circuits, Systems and Signal Processing 工程技术-工程:电子与电气
CiteScore
4.80
自引率
13.00%
发文量
321
审稿时长
4.6 months
期刊介绍: Rapid developments in the analog and digital processing of signals for communication, control, and computer systems have made the theory of electrical circuits and signal processing a burgeoning area of research and design. The aim of Circuits, Systems, and Signal Processing (CSSP) is to help meet the needs of outlets for significant research papers and state-of-the-art review articles in the area. The scope of the journal is broad, ranging from mathematical foundations to practical engineering design. It encompasses, but is not limited to, such topics as linear and nonlinear networks, distributed circuits and systems, multi-dimensional signals and systems, analog filters and signal processing, digital filters and signal processing, statistical signal processing, multimedia, computer aided design, graph theory, neural systems, communication circuits and systems, and VLSI signal processing. The Editorial Board is international, and papers are welcome from throughout the world. The journal is devoted primarily to research papers, but survey, expository, and tutorial papers are also published. Circuits, Systems, and Signal Processing (CSSP) is published twelve times annually.
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