强大的MPC用于多重点不确定系统通过一个高速率的网络与圆形轮调度
Jianhua Wang1, Yiling Wang1, Xialai Wu1
1School of Engineering, Huzhou University, Huzhou, Zhejiang, China.
PeerJ. Computer science
|June 22, 2023
概括
本研究为不确定系统引入了强大的模型预测控制 (RMPC),使用循环轮回 (RR) 调度来防止高速网络中的数据碰撞. 拟议的RMPC战略保证了系统的稳定性,尽管存在通信不确定性.
科学领域:
- 控制系统工程 控制系统工程
- 网络控制系统 网络控制系统
- 系统理论 系统理论
背景情况:
- 高速通信通道容易发生数据碰撞,当多个传感器同时传输时.
- 循环轮回 (RR) 调度用于管理数据传输顺序,一次只允许一个节点访问.
- 强大的模型预测控制 (RMPC) 对具有多类不确定性的系统至关重要.
研究的目的:
- 在RMPC框架内设计一组控制器,用于多类不确定系统.
- 为了保证闭环系统在高速通讯通道中的RR调度下的非对称稳定性.
- 解决共享通信网络中固有的数据碰撞问题.
主要方法:
- 使用一种依赖于代币的Lyapunov-like方法进行稳定性分析.
- 通过解决辅助优化问题的终端约束集来开发足够的条件.
- 实现一个算法,包括离线和在线组件,以获得次优化解决方案.
主要成果:
- 拟议的RMPC战略有效地保证了闭环系统的非对称稳定性.
- 考虑到RR调度的影响,得出了足够的稳定性条件.
- 介绍了一种实际的算法,用于找到可行的控制解决方案.
结论:
- 开发的RMPC策略对于在RR调度的共享高速通讯道上运行的不确定系统是有效的.
- 该方法提供了一个强大的解决方案,在存在通信限制的情况下保持系统稳定性.
- 模拟示例验证了拟议的控制方法的性能和适用性.
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