This paper tackles the multi-objective optimization of the cost functional of a path-following model predictive control for vehicle longitudinal and lateral control. While the inherent optimal character of the model predictive control and the direct consideration of constraints gives a very powerful tool for many applications, is the determination of an appropriate cost functional a non-trivial task. This results on the one hand from the number of degrees of freedom or the multitude of adjustable parameters and on the other hand from the coupling of these. To overcome this situation a Bayesian optimization procedure is present, which gives the possibility to determine optimal cost functional parameters for a given desire. Moreover, a Pareto-front for a whole set of possible configurations can be computed.

翻译：本文论述车辆纵向和横向控制遵循路径模型预测控制的成本功能的多目标优化问题,虽然模型预测控制和直接考虑制约因素的内在最佳特点为许多应用提供了非常有力的工具,但确定适当的成本功能是一项非三重任务,一方面是自由度或可调整参数的多度,另一方面是这些参数的结合。为了克服这种情况,巴耶斯优化程序已经存在,它为确定某种愿望的最佳成本功能参数提供了可能性。此外,还可以计算出一套可能的组合的先锋。