离散马尔可夫跳变线性系统的模型约简

Georgios Kotsalis, A. Megretski, M. Dahleh
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引用次数: 15

摘要

提出了一种离散时间马尔可夫跳变线性系统的模型约简算法。约简方法的要点是两个广义耗散不等式的公式,它们与适当定义的存储函数相结合,可以推导出具有可证明的近似误差随机L2增益的先验上界的降阶模型
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model reduction of discrete-time Markov jump linear systems
This paper proposes a model reduction algorithm for discrete-time, Markov jump linear systems. The main point of the reduction method is the formulation of two generalized dissipation inequalities that in conjunction with a suitably defined storage function enable the derivation of reduced order models that come with a provable a priori upper bound on the stochastic L2 gain of the approximation error
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