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A structured Krylov subspace approach based model reduction of periodic control system in lifted form

机译:基于结构化的Krylov子空间方法升降形式定期控制系统的模型减少

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In this paper, a reduced order model technique based on Krylov subspace for linear discrete-time periodic (LDTP) control system has been proposed. The proposed iterative algorithm conserves the exact structure of the original solution of LDTP Lyapunov functions while approximating them using Krylov iterations. This paper also exhibits how this proposed structure preserving algorithm generates a reduced order LDTP model. For confirming the efficiency and accuracy of this proposed algorithm numerical results are presented herewith this paper.
机译:本文已经提出了一种基于Krylov子空间的降低的线性离散时间周期(LDTP)控制系统的阶数模型技术。所提出的迭代算法节省了LDTP Lyapunov函数原始解决方案的确切结构,同时使用Krylov迭代近似。本文还展示了该建议的结构保护算法如何生成减少的LDTP模型。为了确认该算法的效率和准确性,本文介绍了该纸张的数值结果。

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