动态周期性事件触发控制随机复杂网络的时间变化的延迟
Xuetao Yang1, Anjie Li2, Quanxin Zhu3
1School of Science, Nanjing University of Posts and Telecommunications, Nanjing, 210023, Jiangsu, China; MOE-LCSM, School of Mathematics and Statistics, Hunan Normal University, Changsha, 410081, Hunan, China.
概括
本研究引入了一种新的动态周期性事件触发控制 (ETC),以稳定具有延迟的复杂随机系统. 提出的方法减少了控制更新和通信负载,确保了系统的稳定性.
科学领域:
- 控制理论 控制理论
- 网络系统 网络系统
- 随机系统 随机系统 随机系统
背景情况:
- 随机复杂的网络系统具有时间变化的延迟,这给控制带来了重大挑战.
- 现有的事件触发控制 (ETC) 方法可能会受到Zeno现象或高通讯开销的影响.
研究的目的:
- 开发一种新的动态周期性事件触发控制 (ETC) 策略.
- 为了实现对具有时间变化的延迟的随机复杂网络系统的指数稳定.
- 为了减少通信资源的使用,避免Zeno现象.
主要方法:
- 建议采用动态周期性事件触发控制 (ETC) 方法.
- 图形理论被用来建模网络互连.
- 使用利亚普诺夫-拉祖米金法来处理时间延迟.
- 定期采样是用来预防Zeno现象的.
主要成果:
- 实现了所考虑系统的平均平方指数稳定.
- 与静态ETC相比,动态ETC减少了控制器更新频率.
- 理论结果通过机器人手臂系统的数值示例来验证.
结论:
- 拟议的动态周期ETC对于稳定具有时间变化的延迟的随机复杂网络系统是有效的.
- 该方法在通信效率和避免Zeno现象方面具有优势.
- 该方法为复杂的网络控制问题提供了一个强大的框架.
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