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Model reduction by the low-frequency approximation balancing methodfor unstable systems

机译:低频近似平衡法求解不稳定系统模型

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摘要

The unstable system model reduction technique is investigated by the low-frequency approximation balancing method. The reduced models retain the DC gain of the original model which offer a good approximation at low frequencies. Various relevant properties of the reduced model are available. In particular, the reduced models ensure the minimality and the number of the unstable poles as the original model. An upper bound for model reduction error is also provided in the frequency domain
机译:通过低频近似平衡法研究了不稳定系统模型的简化技术。简化后的模型保留了原始模型的DC增益,该增益在低频下具有良好的近似性。简化模型的各种相关属性均可用。尤其是,简化的模型可以确保不稳定极点的数量和数量与原始模型一样少。频域中还提供了模型简化误差的上限

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