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Order reduction using improved pole clustering with Pade approximation method for linear system

机译:使用改进的极点聚类和线性Pade逼近方法降低阶数

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摘要

An enhanced pole clustering method is presented that yields linear time invariant-reduced order system. This is accomplished by using the combined benefits of improved Pade approximation method. The applicability of the proposed method for both single and multi-variable linear time invariant systems is verified by solving numerical experiment. Furthermore, the results show that the realised LTI-reduced order system retains stability and steady-state conditions of the original system. The reduced model also exhibits lower integral square error values.
机译:提出了一种增强的极点聚类方法,该方法产生线性时不变约简系统。这是通过使用改进的Pade近似方法的综合优势来实现的。通过求解数值实验,验证了该方法在单变量和多变量线性时不变系统中的适用性。此外,结果表明,所实现的LTI降阶系统保留了原始系统的稳定性和稳态条件。简化模型还具有较低的积分平方误差值。

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