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Model order reduction for nonlinear dynamical systems based on trajectory piecewise-linear approximations

机译:基于轨迹分段线性近似的非线性动力学系统模型降阶

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摘要

In this paper we analyze and expand a recently developed approach to Model Order Reduction (MOR) for nonlinear dynamical systems based on trajectory piecewise-linear (TPWL) approximations. Error estimates are given for solutions computed with TPWL reduced order models, and problems of preserving stability and passivity are examined. Since the TPWL method has limited a priori guarantees on global accuracy, its effectiveness is demonstrated on a range of examples including a micromachined switch, two nonlinear electronic circuits, and shock propagation modeled by Burgers' equation. (c) 2004 Elsevier Inc. All rights reserved.
机译:在本文中,我们分析和扩展了基于轨迹分段线性(TPWL)近似的非线性动力学系统的模型降阶(MOR)的最新开发方法。给出了使用TPWL降阶模型计算的解的误差估计,并研究了保持稳定性和无源性的问题。由于TPWL方法在全局精度方面有限的先验保证,因此其有效性在一系列示例中得到了证明,包括微机械开关,两个非线性电子电路以及通过Burgers方程建模的冲击传播。 (c)2004 Elsevier Inc.保留所有权利。

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