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首页> 外文期刊>Mathematical and Computer Modelling of Dynamical Systems >Model order reduction for object-oriented models: a control systems perspective
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Model order reduction for object-oriented models: a control systems perspective

机译:面向对象模型的模型顺序缩减:控制系统的角度

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摘要

In recent years several concepts and tools for modelling and simulation of non-linear heterogeneous and multi-domain systems have been developed, speeding up to a great extent the process of an accurate analysis by simulation of increasingly complex technological systems. In parallel, for dimensioning and, above all, for control system design purposes, the need of models of reduced complexity has emerged; together with the need of tools capable of extracting, from the overall dynamic model, reduced models representing the dominant behaviour. This article reviews recent results in non-linear model order reduction method (NORM), originally developed with reference to computer-aided analysis and design of electronic circuits, and puts them in a control system design-oriented perspective, pointing out interesting future research directions.
机译:近年来,已经开发了一些用于非线性异构和多域系统建模和仿真的概念和工具,在很大程度上加快了通过仿真日益复杂的技术系统进行准确分析的过程。同时,为了确定尺寸,最重要的是为了控制系统的设计,已经出现了降低复杂性的模型的需求。加上需要能够从整体动态模型中提取代表主要行为的简化模型的工具。本文回顾了非线性模型降阶方法(NORM)的最新结果,该模型最初是参考电子电路的计算机辅助分析和设计而开发的,并将它们置于面向控制系统设计的角度,指出了有趣的未来研究方向。

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