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Formal modeling and analysis of hybrid systems in rewriting logic using higher-order numerical methods and discrete-event detection

机译:使用高阶数值方法和离散事件检测在混合逻辑中对混合系统进行形式化建模和分析

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In previous work, we proposed a methodology for the formal modeling, simulation, and model checking of interacting hybrid systems in the rewriting-logic-based Real-Time Maude tool. In that effort/flow-inspired methodology, both the physical components and their interactions are explicitly modeled, so that one only needs to describe the dynamics of single components and interactions, instead of having to perform the hard task of defining the continuous dynamics of the entire system. We previously used the Euler method to approximate the continuous dynamics defined by ordinary differential equations (ODEs). This paper explains (i) how we adapt, and then formalize in Real-Time Maude, the more precise Runge-Kutta numerical approximation methods to the effort/flow approach, in particular to coupled ODEs; and (ii) how we can use adaptive time increments to better approximate the time at which a discrete event must take place. Finally, we compare the results and the execution times for Real-Time Maude simulation and model checking with our previous approach on some thermal systems.
机译:在先前的工作中,我们提出了一种基于重写逻辑的实时Maude工具中的交互混合系统的形式化建模,仿真和模型检查的方法。在这种以工作量/流程为灵感的方法中,物理组件及其相互作用都得到了显式建模,因此人们只需要描述单个组件和相互作用的动力学,而不必执行定义任务的连续动力学的艰巨任务。整个系统。我们以前使用Euler方法来近似由常微分方程(ODE)定义的连续动力学。本文解释(i)我们如何适应工作量/流程方法,尤其是耦合ODE,然后在实时Maude中将更精确的Runge-Kutta数值逼近方法进行形式化; (ii)如何使用自适应时间增量更好地估计离散事件必须发生的时间。最后,我们将实时Maude仿真和模型检查的结果与执行时间与我们在某些热力系统上的先前方法进行比较。

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