.png){kind=icon}
返回
An Efficient Control-Driven Period Optimization Algorithm for Distributed Real-Time Systems
.png){kind=icon}
OA
AI
DOI：10.1109/TC.2016.2557322.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The sampling periods of real-time embedded control functions have a significant impact on control performance and system schedulability. Exploring period assignment for optimizing control performance while meeting schedulability constraints is very challenging, in particular for distributed systems where control loops share a network of computation and communication resources. In this work, we propose an efficient approach that approximates the performance of each control loop in the system with a piecewise linear function of its sampling period and end-to-end delay, and then optimizes the periods of tasks and messages by exploring the linear partitions of the approximated functions and solving a series of geometric programming (GP) formulations. Experiments on sample control models, an automotive industrial case study and a set of synthetic examples demonstrate the effectiveness and efficiency of our approach.
Keyword:
Real-time embedded control system
period optimization
geometric programming
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.8
论文数:
5.3K
被引数:
9.8K
机构
引用论文
.png){kind=icon}
分享收藏分享收藏分享收藏分享收藏
查看更多内容