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Reachability Analysis of Nonlinear Systems Using Matrix Measures

机译:基于矩阵测度的非线性系统可达性分析

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Matrix measures, also known as logarithmic norms, have historically been used to provide bounds on the divergence of trajectories of a system of ordinary differential equations. In this technical note we use them to compute guaranteed overapproximations of reachable sets for nonlinear continuous-time systems using numerically simulated trajectories and to bound the accumulation of numerical simulation errors along simulation traces. Our method employs a user-supplied bound on the matrix measure of the system's Jacobian matrix to compute bounds on the behavior of nearby trajectories, leading to efficient computation of reachable sets when such bounds are available. We demonstrate that the proposed technique scales well to systems with a large number of states.
机译:矩阵度量(也称为对数范数)在历史上一直被用来为常微分方程组的轨迹散度提供界限。在本技术说明中,我们使用它们来计算使用数值模拟轨迹的非线性连续时间系统的可保证集的逼近过逼,并限制沿着模拟轨迹的数值模拟误差的累积。我们的方法在系统的雅可比矩阵的矩阵度量上采用用户提供的边界来计算附近轨迹的行为的边界,从而在此类边界可用时有效地计算可达集。我们证明了所提出的技术可以很好地扩展到具有大量状态的系统。

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