首页> 外文会议>IEEE Annual Conference on Decision and Control >Polytope joint Lyapunov functions for positive LSS
【24h】

Polytope joint Lyapunov functions for positive LSS

机译:多面联合李雅普诺夫功能为正LSS

获取原文

摘要

We consider switched linear systems of odes, ẋ x(t)= A(u(t))x(t) where A(u(t)) ∈ A, a compact set of matrices. In this paper we propose a new method for the approximation of the upper Lyapunov exponent and lower Lyapunov exponent of the LSS when the matrices in A are Metzler matrices (or the generalization of them for arbitrary cone), arising in many interesting applications (see e.g. [9]). The method is based on the iterative construction of invariant positive polytopes for a sequence of discretized systems obtained by forcing the switching instants to be multiple of Δ(k)t where Δ(k)t → 0 as k → ∞. These polytopes are then used to generate a monotone piecewise-linear joint Lyapunov function on the positive orthant, which gives tight upper and lower bounds for the Lyapunov exponents. As a byproduct we detect whether the considered system is stabilizable or uniformly stable. The efficiency of this approach is demonstrated in numerical examples, including some of relatively large dimensions.
机译:我们考虑极点的开关线性系统,其中x(t)= A(u(t))x(t),其中A(u(t))∈A,矩阵的紧凑集合。在本文中,我们提出了一种新的方法,当A中的矩阵是Metzler矩阵(或它们对任意锥的推广)时,LSS的上Lyapunov指数和下Lyapunov指数的逼近,在许多有趣的应用中出现(参见例如[9])。该方法基于迭代离散系统序列的不变正多态的迭代构造,该离散离散系统的序列是通过强制开关时刻为Δ(k) t的倍数获得的,其中Δ(k) t→0为k→∞。然后将这些多表位用于在正正割线上生成单调分段线性联合Lyapunov函数,从而为Lyapunov指数提供紧密的上下边界。作为副产品,我们检测所考虑的系统是否稳定或一致稳定。数值示例(包括一些相对较大的尺寸)演示了这种方法的效率。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号