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On The Topological Entropy of Continuous-Time Polytopic Systems

机译:在连续时间多孔系统的拓扑熵上

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This paper investigates the topological entropy of continuous-time polytopic systems. The topological entropy is a measure that quantifies the instability in dynamical linear systems and has important applications in autonomous systems. Polytopic systems are dynamical linear systems whose coefficients are functions of an uncertain vector constrained into a polytope. A novel approach is proposed for establishing upper bounds of the largest topological entropy of continuous-time polytopic systems based on the Routh-Hurwitz stability criterion. The upper bounds are established through Linear Matrix Inequality (LMI) feasibility tests, which amount to solving convex optimization problems. A numerical example illustrates the proposed approach.
机译:本文调查了连续时间多孔系统的拓扑熵。拓扑熵是一种量度,可以定量动态线性系统中的不稳定性,并在自主系统中具有重要应用。多孔系统是动态线性系统,其系数是受限制成多托的不确定载体的功能。提出了一种基于Routh-Hurwitz稳定标准的连续多孔系统最大拓扑熵的上限的新方法。通过线性矩阵不等式(LMI)可行性测试来建立上限,这将求解凸优化问题。数值示例说明了所提出的方法。

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