Journal of the Franklin Institute ( IF 4.1 ) Pub Date : 2020-07-07 , DOI: 10.1016/j.jfranklin.2020.04.050 Liqun Wang , Xiaoming Chen , Jun shen
This paper is devoted to the analysis of the ℓ1-induced norm and proposes a novel characterization for 2-D positive systems. As we know that the most popular models of 2-D linear systems were introduced by Roesser, Fornasini and Marchesini. For those two models, an analytical method to compute the exact value of ℓ1-induced norm is first presented. Then, on the basis of these results, a novel characterization for stability and ℓ1-induced performance is proposed for 2-D positive systems. Those characterization are formulated in the form of linear programming (LP). Finally, the theoretical results are illustrated through a numerical example.
中文翻译:
ℓ 1诱导的范数和表征合成2- d正系统
本文专门ℓ的分析1诱导的范数,并提出了2-d正系统的新颖特征。众所周知,Roesser,Fornasini和Marchesini引入了最流行的二维线性系统模型。对于这两个模型,首先提出了一种计算method 1诱导范数精确值的分析方法。然后,这些结果的基础上,用于稳定和ℓ一种新颖的表征1和诱导的性能提出了2-d阳性系统。这些特征以线性编程(LP)的形式表示。最后,通过数值例子说明了理论结果。