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Model Order Reduction via Routh Hurwitz Array and Improved Pade Approximations

机译:通过Routh Hurwitz阵列减少模型顺序和改进的Pade近似值

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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:随着时间的推移,希望为系统的线性不可逆的线性减速。该方案希望获得稳定的Stumpy阶模型,其中通过Routh Hurwitz阵列获得每种类型的低模型分母系数,并且通过改进的曲面近似获得每种类型的低模型分子系数。这项技术保证了低阶系统的一致性。结果是刺激,并为您提供了一个想法,即这种模式操作是类似于可访问传统方法的追求。如今,模型的顺序减少了丰富的研究领域,无论是在系统的理论和控制理论中还是在数值分析中。对系统的大多数较高订单的精确分析是单调和昂贵的;这对系统分析仪和控制工程师来说是一个很大的挑战。该方法基本简单,高阶系统在生产较少的型号时,原始谷仓稳定。已经用一些例子说明了该方法的实用性。

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