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A Closed Form Expression of Nonlinear Scalings for Lyapunov Functions of ISS Networks ?

机译:ISS网络的Lyapunov函数的非线性标度的闭式表达式

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For networks consisting of input-to-state stable systems, it is well-known that the popular Lyapunov function called the max-separable function can be constructed by solely relying on component-wise inverse maps of one single path characterizing the monotonicity of dissipation inequalities of component systems. Numerical algorithms have been developed to compute such a path. This paper proposes a useful closed-form expression for the inverse maps of a path and its extension to generate a sufficient variety of paths. The solution not only gives nonlinear scalings of the max-separable Lyapunov function explicitly, but also substantiates the rounding-off technique to remove the non-differentiable nature from the max-separable function.
机译:对于由输入到状态稳定系统组成的网络,众所周知,可以通过仅依靠表征耗散不等式单调性的单个路径的分量方向逆映射来构造流行的Lyapunov函数,称为max-separable函数。组件系统。已经开发了数值算法来计算这样的路径。本文针对路径的逆映射及其扩展提出了一种有用的闭式表达式,以生成足够多的路径。该解决方案不仅明确给出了最大可分离Lyapunov函数的非线性缩放比例,而且还证实了舍入技术以从最大可分离函数中消除不可微性质。

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