这个是一个simulink模型，采用六步方波控制BLDC，已经搭建好六步控制逻辑，将传统的电源替换成了一个BUCK电源，简单的调节PID参数即可跟踪给定转速。

cvar代码matlab 一种用于自调度问题的新型DRO模型 那这个项目/研究呢？ This study proposes a novel moment-based distributionally robust optimization (DRO) model with conditional value-at-risk (CVaR) for self-scheduling problem under elecyticity price uncertainty. This model comprehensively considers electricity price fluctuations, unit parameters and load re- quirement, and it can be adjusted by adjusting the size of the ambiguity set, so it provides a suitable and adjustable self-scheduling strategy for generation companie

Convolutional Neural Networks (CNNs) are computationally intensive, which limits their application on mobile devices. Their energy is dominated by the number of multiplies needed to perform the convolutions. Winograd’s minimal filtering algorithm and network pruning can reduce the operation count, but these two methods cannot be straightforwardly combined — applying the Winograd transform fills in the sparsity in both the weights and the activations. We propose two modifications to Winograd-based CNNs to enable these methods to exploit sparsity.

Systems and enterprises (often referred to as systems-of-systems) that employ multiple advanced technologies and achieve ever-higher levels of complexity have become mainstays of the modern world. Managing the complexity of these systems, especially to create solutions to the needs of system users and other stakeholders within acceptable cost and schedule, is a recurring challenge to the Systems Engineering (SE) community. Spectacular progress in mechanical and electronic devices, materials, sensors, energy generation and control, vehicles and propulsion, communications and networking, computing and software, and many other fields creates both new capabilities and new demands for tools and methods to effectively exploit them. Communities as diverse as the sciences, commercial enterprises, education, government, academia, and the military frequently report that programs aimed at delivering new capabilities based on advanced technology have overrun their budgets and schedules, failed to meet their objectives, or simply overwhelmed the capabilities of system developers and users.

显式非线性模型预测控制

tesla model3 用户使用手册，详细介绍model3的使用说明。

用于tensorboard打开的可视化模型

帮助OPNET初学者入门提高，里面包括建模的例子，可以对照学习。

内含MSCOCO数据集中的模型（除FastPose（DCN））的.pth文件，直接从GitHub上下载很慢且很多放在谷歌云无法下载，现上传方便大家下载学习，需要其他数据集模型的见其他资源，文件太大不能一起上传

内含Halpe数据集中的模型和FastPose(DCN)的.pth文件，直接从GitHub上下载很慢且很多放在谷歌云无法下载，现上传方便大家下载学习，需要其他数据集模型的见其他资源，文件太大不能一起上传