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Reduction of Large-Scale Dynamical Systems by Extended Balanced Singular Perturbation Approximation
International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2020-10-01 , DOI: 10.33889/ijmems.2020.5.5.072
Santosh Kumar Suman , Awadhesh Kumar

A simplified approach for model order reduction (MOR) idea is planned for better understanding and explanation of largescale linear dynamical (LSLD) system. Such approaches are designed to well understand the description of the LSLD system based upon the Balanced Singular Perturbation Approximation (BSPA) approach. BSPA is tested for minimum / non-minimal and continuous/discrete-time systems valid for linear time-invariant (LTI) systems. The reduced-order model (ROM) is designed to preserved complete parameters with reasonable accuracy employing MOR. The Proposed approach is based upon retaining the dominant modes (may desirable states) of the system and eliminating comparatively the less significant eigenvalues. As the ROM has been derived from retaining the dominant modes of the largescale linear dynamical stable system, which preserves stability. The strong aspect of the balanced truncation (BT) method is that the steady-state values of the ROM do not match with the original system (OS). The singular perturbation approximation approach (SPA) has been used to remove this drawback. The BSPA has been efficaciously applied on a large-scale system and the outcomes obtained show the efficacy of the approach. The time and frequency response of an approximated system has been also demonstrated by the proposed approach, which proves to be an excellent match as compared to the response obtained by other methods in the literature review with the original system. KeywordsMOR, Large-scale linear dynamical system, Balanced truncation method, Steady state value, Singular perturbation approximation.

中文翻译:

扩展平衡奇异摄动逼近的大型动力学系统的约简

为了更好地理解和解释大规模线性动力学(LSLD)系统,计划了一种简化的模型降阶(MOR)思想方法。此类方法旨在根据平衡奇异摄动近似(BSPA)方法很好地理解LSLD系统的描述。BSPA已针对对线性时不变(LTI)系统有效的最小/非最小和连续/离散时间系统进行了测试。降阶模型(ROM)设计为使用MOR可以合理的精度保留完整的参数。提议的方法基于保留系统的主导模式(可能是理想状态)并相对地消除次要特征值。由于ROM是通过保留大规模线性动力稳定系统的主导模式而产生的,保持稳定性。平衡截断(BT)方法的强项是ROM的稳态值与原始系统(OS)不匹配。奇异摄动近似方法(SPA)已用于消除此缺点。BSPA已有效地应用于大规模系统,所获得的结果表明了该方法的有效性。所提出的方法还证明了近似系统的时间和频率响应,与文献中对原始系统的其他方法获得的响应相比,该方法被证明是极好的匹配。关键词MOR,大规模线性动力系统,平衡截断法,稳态值,奇异摄动近似。平衡截断(BT)方法的强项是ROM的稳态值与原始系统(OS)不匹配。奇异摄动近似方法(SPA)已用于消除此缺点。BSPA已有效地应用于大规模系统,所获得的结果表明了该方法的有效性。所提出的方法还证明了近似系统的时间和频率响应,与文献中对原始系统的其他方法获得的响应相比,该方法被证明是极好的匹配。关键词MOR,大规模线性动力系统,平衡截断法,稳态值,奇异摄动近似。平衡截断(BT)方法的强项是ROM的稳态值与原始系统(OS)不匹配。奇异摄动近似方法(SPA)已用于消除此缺点。BSPA已有效地应用于大型系统,所获得的结果表明了该方法的有效性。所提出的方法还证明了近似系统的时间和频率响应,与文献中对原始系统的其他方法获得的响应相比,该方法被证明是极好的匹配。关键词MOR,大规模线性动力系统,平衡截断法,稳态值,奇异摄动近似。奇异摄动近似方法(SPA)已用于消除此缺点。BSPA已有效地应用于大规模系统,所获得的结果表明了该方法的有效性。所提出的方法还证明了近似系统的时间和频率响应,与文献中对原始系统的其他方法获得的响应相比,该方法被证明是极好的匹配。关键词MOR,大规模线性动力系统,平衡截断法,稳态值,奇异摄动近似。奇异摄动近似方法(SPA)已用于消除此缺点。BSPA已有效地应用于大规模系统,所获得的结果表明了该方法的有效性。所提出的方法还证明了近似系统的时间和频率响应,与文献中对原始系统的其他方法获得的响应相比,该方法被证明是极好的匹配。关键词MOR,大规模线性动力系统,平衡截断法,稳态值,奇异摄动近似。所提出的方法还证明了近似系统的时间和频率响应,与文献中对原始系统的其他方法获得的响应相比,该方法被证明是极好的匹配。关键词MOR,大规模线性动力系统,平衡截断法,稳态值,奇异摄动近似。所提出的方法还证明了近似系统的时间和频率响应,与文献中对原始系统的其他方法获得的响应相比,该方法被证明是极好的匹配。关键词MOR,大规模线性动力系统,平衡截断法,稳态值,奇异摄动近似。
更新日期:2020-10-01
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