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H-2 model order reduction based on gramians of discrete-time bilinear systems

机译:基于离散时间双线性系统克朗的H-2模型顺序减少

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摘要

In this paper, on the basis of gramians, H-2-optimal model order reduction of discrete-time bilinear dynamic systems is investigated. First, based on the reachability gramian and the observability gramian, the H-2-optimal necessary conditions of the discrete-time bilinear system are derived and the corresponding algorithm is proposed. When the algorithm is convergent, the resulting reduced system satisfies the necessary conditions. Then, for the single-input and single-output system, the H-2-optimal necessary conditions based on the generalized cross gramian are presented and the related algorithm is accordingly generated. Similarly, the convergent algorithm can make the reduced system satisfy the necessary conditions. Finally, two numerical examples are employed to illustrate the effectiveness of the proposed methods.
机译:本文在葛兰素的基础上,研究了H-2最优模式顺序减少离散时间双线性动态系统。 首先,基于可达性克朗尼亚人和可观察性克朗尼亚人,推导出离散时间双线性系统的H-2最优必要条件,提出了相应的算法。 当算法收敛时,所得到的减少系统满足必要条件。 然后,对于单输入和单输出系统,提出了基于广义交叉克朗尼亚人的H-2最优必要条件,因此产生了相关的算法。 类似地,收敛算法可以使减少的系统满足必要的条件。 最后,采用了两个数值例子来说明所提出的方法的有效性。

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