Execution Profiles for NMPC Control Software

该数据集包含了从C语言中实现的非线性模型预测控制器（NMPC）中收集的执行概况，该控制器旨在控制一个运动学自行车模型。概况中包括了在控制执行期间以固定间隔采样的计算资源使用情况测量数据，如CPU指令和最后一级缓存请求。此外，该数据集专注于捕捉在受控执行环境下计算资源使用的硬件级随机性，为预测软件应用中的资源可用性提供洞察。该数据集规模包含500个概况实例，其任务是对资源使用情况进行预测与分析。This dataset contains execution profiles collected from a nonlinear model predictive controller (NMPC) implemented in C, which is designed to control a kinematic bicycle model. The profiles include measured computational resource usage data sampled at fixed intervals during control execution, such as CPU instructions and last-level cache requests. Furthermore, this dataset focuses on capturing hardware-level randomness in computational resource usage under controlled execution environments, providing insights for predicting resource availability in software applications. Comprising 500 profile instances, this dataset is intended for resource usage prediction and analysis tasks.