量子反集成的滑动模式控制不确定的网络线性系统通过事件触发方法
Xinggui Zhao1, Bo Meng1, Zhen Wang1
1College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, 266590, China.
ISA transactions
|October 2, 2024
概括
本研究介绍了一种新的量子化事件触发 (ET) 集成滑动模式 (ISM) 控制器,用于不确定的网络系统. 该方法通过优化控制信号更新和避免Zeno现象来确保系统稳定性.
科学领域:
- 控制系统工程 控制系统工程
- 网络系统理论 网络系统理论
- 应用数学 应用数学 应用数学
背景情况:
- 网络系统带来了诸如数据量化和事件触发通信等挑战.
- 集成滑动模式 (ISM) 控制提供了稳定性,但需要有效的状态信息.
- 现有的事件触发 (ET) 控制方法可能无法完全解决网络系统中的量子化效应.
研究的目的:
- 为不确定的网络线性系统设计一种新的量子化事件触发 (ET) 积分滑动模式 (ISM) 控制器.
- 开发一种新的ISM表面,只使用量子化ET状态.
- 为了建立控制信号更新的条件,并保证系统稳定性,避免Zeno现象.
主要方法:
- 提出了一种新的ISM表面,通过分离时间间隔来整合量子化ET状态.
- 新的ET条件是根据状态和量子化SM错误来制定新的ET条件,以确定控制更新.
- 在"放大"和"放大"阶段分析事件间的最小时间,以防止Zeno行为.
主要成果:
- 拟议的量子化ET ISM表面有效地利用了量子化状态信息.
- 新的ET条件成功调节控制信号更新,确保系统稳定.
- 证明事件间的最小时间证实了避免Zeno现象.
结论:
- 开发的量子化ET ISM控制器对于不确定的网络线性系统是有效的.
- 提出的方法在沟通限制下提供了一个强大而有效的控制策略.
- 模拟结果验证了设计的控制器的实际适用性和性能.
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