arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1808.08540math.DS
收藏

两时滞线性差分方程的强稳定性和鲁棒强稳定性

On Strong Stability and Robust Strong Stability of Linear Difference Equations with Two Delays

Bin Zhou

摘要:

本文给出了线性差分方程$x(t)=Ax(t-a)+Bx(t-b)$指数稳定的一个充分必要条件,其中$a>0,b>0$是常数,$A,B$是$\left( k+1\right) n\times \left( k+1\right) n$方阵.与已有的系数$\left( A,B\right) $表现为高度非线性函数的条件不同,所提出的LMI条件涉及的矩阵是$\left( A,B\right) .$的线性函数。这一性质进一步用于处理范数有界不确定性和多面体不确定性情况下的鲁棒稳定性问题以及状态反馈镇定问题。这两个问题的解决方案是由线性矩阵不等式。给出了基于Lyapunov-Krasovskii泛函的线性矩阵不等式条件的时域解释,揭示了现有方法之间的联系.数值算例验证了该方法的有效性。

英文摘要:

This paper provides a necessary and sufficient condition for guaranteeing exponential stability of the linear difference equation $x(t)=Ax(t-a)+Bx(t-b)$ where $a>0,b>0$ are constants and $A,B$ are $n\times n$ square matrices, in terms of a linear matrix inequality (LMI) of size $\left( k+1\right) n\times \left( k+1\right) n$ where $k\geq1$ is some integer. Different from an existing condition where the coefficients $\left( A,B\right) $ appear as highly nonlinear functions, the proposed LMI condition involves matrices that are linear functions of $\left( A,B\right) .$ Such a property is further used to deal with the robust stability problem in case of norm bounded uncertainty and polytopic uncertainty, and the state feedback stabilization problem. Solutions to these two problems are expressed by LMIs. A time domain interpretation of the proposed LMI condition in terms of Lyapunov-Krasovskii functional is given, which helps to reveal the relationships among the existing methods. Numerical example demonstrates the effectiveness of the proposed method.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑