We present a Monte Carlo simulation framework for analysing the risk involved in deploying real-time control systems in safety-critical applications, as well as an algorithm design technique allowing one (in certain situations) to robustify a control algorithm. Both approaches are very general and agnostic to the initial control algorithm. We present examples showing that these techniques can be used to analyse the reliability of implementations of non-linear model predictive control algorithms.

翻译：我们提出了一个蒙特卡洛模拟框架,用于分析在安全关键应用中部署实时控制系统所涉及的风险,以及一种算法设计技术,允许一种算法技术(在某些情况下)加强控制算法,这两种方法都非常笼统,对最初控制算法具有不可知性。 我们举例表明,这些技术可以用来分析非线性模型预测控制算法的实施可靠性。