• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

基于FlexRay协议的高速网络的多面体不确定系统的鲁棒模型预测控制

Robust model predictive control for polytopic uncertain systems a high-rate network with the FlexRay protocol.

作者信息

Wang Jianhua, Fan Fuqiang, Yu Yanye, Du Shuxin, Guo Xiaorui

机构信息

Huzhou Key Laboratory of Intelligent Sensing and Optimal Control for Industrial Systems, School of Engineering, Huzhou University, Huzhou, Zhejiang, China.

出版信息

PeerJ Comput Sci. 2025 Jan 6;11:e2580. doi: 10.7717/peerj-cs.2580. eCollection 2025.

DOI:10.7717/peerj-cs.2580
PMID:39896019
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11784757/
Abstract

In this article, the robust model predictive control (RMPC) problem is investigated for a class of polytopic uncertain systems over high-rate networks whose signal exchanges are scheduled by the FlexRay protocol (FRP). During signal measurement, a high-rate network is applied to broadcast the data from the sensors to the controller efficiently. The FRP including the characteristics of event-triggered mechanism and the time-triggered mechanism is embedded into the high-rate network to regulate the data transmission in a circular period which can improve the flexibility of data transmission. With the aid of the Round-Robin and Try-Once-Discard protocols, a new expression of the measurement model is formulated by the use of certain data holding strategies. Subsequently, taking both high-rate networks and FRP into account, sufficient conditions are obtained by solving a time-varying terminal constraint set of an auxiliary optimization problem. In addition, an algorithm including both off-line and on-line parts is provided to find a sub-optimal solution. Lastly, two numerical simulations are carried out to substantiate the validity of the proposed RMPC strategy which is based on FRP and a high-rate network.

摘要

在本文中，针对一类多面体不确定系统在高速网络上的鲁棒模型预测控制（RMPC）问题展开研究，该高速网络的信号交换由FlexRay协议（FRP）调度。在信号测量期间，采用高速网络将传感器数据高效地广播给控制器。包含事件触发机制和时间触发机制特性的FRP被嵌入到高速网络中，以在一个循环周期内调节数据传输，这可以提高数据传输的灵活性。借助循环调度和一次尝试丢弃协议，通过使用特定的数据保持策略构建了测量模型的新表达式。随后，综合考虑高速网络和FRP，通过求解一个辅助优化问题的时变终端约束集获得了充分条件。此外，提供了一种包含离线和在线部分的算法来找到次优解。最后，进行了两个数值仿真，以证实基于FRP和高速网络所提出的RMPC策略的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62af/11784757/9289f1c05fd3/peerj-cs-11-2580-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62af/11784757/1ac26518f74b/peerj-cs-11-2580-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62af/11784757/e0d14ccc833d/peerj-cs-11-2580-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62af/11784757/f56e4c4574b8/peerj-cs-11-2580-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62af/11784757/666afa30d02b/peerj-cs-11-2580-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62af/11784757/7a6de4224b47/peerj-cs-11-2580-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62af/11784757/e17b75a154cb/peerj-cs-11-2580-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62af/11784757/58269d432a13/peerj-cs-11-2580-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62af/11784757/f1101f74cc00/peerj-cs-11-2580-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62af/11784757/941c7574136f/peerj-cs-11-2580-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62af/11784757/9289f1c05fd3/peerj-cs-11-2580-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62af/11784757/1ac26518f74b/peerj-cs-11-2580-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62af/11784757/e0d14ccc833d/peerj-cs-11-2580-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62af/11784757/f56e4c4574b8/peerj-cs-11-2580-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62af/11784757/666afa30d02b/peerj-cs-11-2580-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62af/11784757/7a6de4224b47/peerj-cs-11-2580-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62af/11784757/e17b75a154cb/peerj-cs-11-2580-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62af/11784757/58269d432a13/peerj-cs-11-2580-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62af/11784757/f1101f74cc00/peerj-cs-11-2580-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62af/11784757/941c7574136f/peerj-cs-11-2580-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62af/11784757/9289f1c05fd3/peerj-cs-11-2580-g010.jpg

相似文献

1
Robust model predictive control for polytopic uncertain systems a high-rate network with the FlexRay protocol.基于FlexRay协议的高速网络的多面体不确定系统的鲁棒模型预测控制
PeerJ Comput Sci. 2025 Jan 6;11:e2580. doi: 10.7717/peerj-cs.2580. eCollection 2025.
2
Robust MPC for polytopic uncertain systems a high-rate network with the round-robin scheduling.针对多面体不确定系统的鲁棒模型预测控制 一种采用循环调度的高速网络。
PeerJ Comput Sci. 2023 Mar 10;9:e1269. doi: 10.7717/peerj-cs.1269. eCollection 2023.
3
Distributed filtering for nonlinear time-varying systems with Byzantine attacks and innovation constraints: A FlexRay scheduling mechanism.具有拜占庭攻击和创新约束的非线性时变系统的分布式滤波：一种FlexRay调度机制。
ISA Trans. 2025 Jun;161:145-154. doi: 10.1016/j.isatra.2025.04.005. Epub 2025 Apr 14.
4
Set-Membership State Estimation for Multirate Nonlinear Complex Networks Under FlexRay Protocols: A Neural-Network-Based Approach.FlexRay协议下多速率非线性复杂网络的集合成员状态估计：一种基于神经网络的方法
IEEE Trans Neural Netw Learn Syst. 2025 Mar;36(3):4922-4933. doi: 10.1109/TNNLS.2024.3377537. Epub 2025 Feb 28.
5
Tracking Control of a Class of Cyber-Physical Systems via a FlexRay Communication Network.通过 FlexRay 通信网络对一类信息物理系统的跟踪控制。
IEEE Trans Cybern. 2019 Apr;49(4):1186-1199. doi: 10.1109/TCYB.2018.2794523. Epub 2018 Mar 13.
6
Observer-Based Asynchronous Control of Nonlinear Systems With Dynamic Event-Based Try-Once-Discard Protocol.基于观测器的非线性系统动态事件触发单次丢弃协议异步控制
IEEE Trans Cybern. 2022 Dec;52(12):12638-12648. doi: 10.1109/TCYB.2021.3104806. Epub 2022 Nov 18.
7
Networked Output-Feedback MPC: A Bounded Dynamic Variable and Time-Varying Threshold-Dependent Event-Based Approach.网络化输出反馈模型预测控制：一种基于有界动态变量和时变阈值的事件驱动方法
IEEE Trans Cybern. 2024 Apr;54(4):2308-2319. doi: 10.1109/TCYB.2022.3220515. Epub 2024 Mar 18.
8
Tube-Based Output Feedback Robust MPC for LPV Systems With Scaled Terminal Constraint Sets.基于管的具有缩放终端约束集的LPV系统输出反馈鲁棒模型预测控制
IEEE Trans Cybern. 2022 Aug;52(8):7563-7576. doi: 10.1109/TCYB.2020.3041334. Epub 2022 Jul 19.
9
A Reliability Scheduling Algorithm for the Static Segment of FlexRay on Vehicle Networks.车辆网络中 FlexRay 静态段的可靠性调度算法。
Sensors (Basel). 2018 Nov 5;18(11):3783. doi: 10.3390/s18113783.
10
Robust Sampled-Data Control for Switched Complex Dynamical Networks With Actuators Saturation.带执行器饱和的切换复杂动力网络的鲁棒采样控制。
IEEE Trans Cybern. 2022 Oct;52(10):10909-10923. doi: 10.1109/TCYB.2021.3069813. Epub 2022 Sep 19.

本文引用的文献

1
l-l state estimation for delayed artificial neural networks under high-rate communication channels with Round-Robin protocol.基于轮询协议的高速率通信通道下时滞人工神经网络的 l-l 状态估计。
Neural Netw. 2020 Apr;124:170-179. doi: 10.1016/j.neunet.2020.01.013. Epub 2020 Jan 23.
2
Model Predictive Cooperative Control With ISM for Multiagent Systems Under Stochastic Communication Protocol.随机通信协议下基于内模控制的多智能体系统模型预测协同控制
IEEE Trans Cybern. 2021 Dec;51(12):6004-6016. doi: 10.1109/TCYB.2019.2941743. Epub 2021 Dec 22.
3
Tracking Control of a Class of Cyber-Physical Systems via a FlexRay Communication Network.
通过 FlexRay 通信网络对一类信息物理系统的跟踪控制。
IEEE Trans Cybern. 2019 Apr;49(4):1186-1199. doi: 10.1109/TCYB.2018.2794523. Epub 2018 Mar 13.