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Continuous-Time Enclosures for Uncertain Implicit Differential Equations

机译:不确定隐式微分方程的连续时间外壳

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The computation of enclosures for the reachable set of uncertain dynamic systems is a crucial component in a wide variety of applications, from global and robust dynamic optimization to safety verification and fault detection. Even though many systems in engineering are best modeled as implicit differential equations (IDEs) and differential algebraic equations (DAEs), methods for the construction of enclosures for these are not as well developed as they are for ordinary differential equations (ODEs). In this paper, we propose a continuous-time approach for the guaranteed over approximations of the reachable set for quasilinear IDEs. This approach builds on novel high-order inclusion techniques for the solution set of algebraic equations and state-of-the-art techniques for bounding the solution of nonlinear ODEs. We show how this approach can be used to bound the reachable set of uncertain semi-explicit DAEs by bounding the underlying IDEs. We demonstrate this approach on two case studies, a double pendulum where it proves superior with delayed break-down times compared to other methods, and anaerobic digestion of microalgae which has nine differential and two algebraic states.
机译:从全局,可靠的动态优化到安全验证和故障检测,对于不确定的动态系统的可到达集合的外壳计算是广泛应用中的关键组成部分。尽管工程中的许多系统都最好用隐式微分方程(IDE)和微分代数方程(DAE)建模,但针对它们的封闭结构的构造方法却不如普通微分方程(ODE)那样完善。在本文中,我们提出了一种连续时间方法,以保证准线性IDE的可及集的近似逼近。这种方法建立在用于代数方程解集的新颖高阶包含技术和用于约束非线性ODE解的最新技术的基础上。我们展示了如何通过绑定基础的IDE来使用此方法来绑定不确定的半显式DAE的可到达集合。我们在两个案例研究中证明了这种方法,一个是双摆,与其他方法相比,它具有更好的延迟分解时间,以及具有9个差分和两个代数态的微藻的厌氧消化。

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