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Model Order Reduction via Routh Hurwitz Array and Improved Pade Approximations

机译:通过Routh Hurwitz阵列和改进的Pade逼近来降低模型阶数

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摘要

Over time, a diverse scheme is wished-for for linear diminution of linear irreversible of the system. This scheme is wished-for to get hold of a stable stumpy-order model, in which each type of low model denominator coefficient is obtained by Routh Hurwitz array and each type of low model numerator coefficient is obtained by improved pade approximations. This one the technology guarantees the consistency of low order system. The outcomes are stimulating and give you an idea about that this modus operandi is analogous to the eminence of accessible traditional methods. Nowadays, the reduction of the order of the models has been a rich field of research, both in the theory of the system and in the theory of control and in the numerical analysis. Exact analysis of most of the higher orders the system is monotonous and pricey; this is a big challenge for system analyzer and control engineer. This method is basically simple, and high-order system is stable with original barn when producing fewer models. The practicability of this method has been illustrated with some examples.
机译:随着时间的流逝,希望有各种各样的方案来使系统的线性不可逆线性减小。希望该方案能够保持稳定的树状阶模型,其中通过Routh Hurwitz数组获得每种类型的低模型分母系数,并通过改进的Pade逼近获得每种类型的低模型分子系数。这一技术保证了低阶系统的一致性。结果令人振奋,使您知道这种作案手法类似于可访问的传统方法的卓越表现。如今,在系统理论,控制理论和数值分析中,模型阶数的减少已成为研究领域。对大多数高阶系统的精确分析是单调且昂贵的。对于系统分析仪和控制工程师而言,这是一个巨大的挑战。这种方法基本上很简单,并且当生产较少的模型时,高阶系统对于原始谷仓是稳定的。通过一些示例说明了该方法的实用性。

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