事件触发的集成滑动模式控制不确定的网络线性控制系统与量子化
Xinggui Zhao1, Bo Meng1, Zhen Wang1
1College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao 266590, China.
Mathematical biosciences and engineering : MBE
|November 3, 2023
概括
本研究介绍了一种集成滑动模式 (ISM) 控制器,用于具有不确定性的联网线性系统. 新型事件触发控制减少了网络负担和能源损失,同时确保了系统稳定性.
科学领域:
- 控制系统工程 控制系统工程
- 网络化系统 网络化系统
- 不确定系统 不确定系统
背景情况:
- 网络系统面临的挑战是非周期性采样数据和不确定性.
- 集成滑动模式 (ISM) 控制为强大的系统稳定提供了潜力.
- 现有的方法可能无法充分解决网络负担和能源效率问题.
研究的目的:
- 为具有匹配和不匹配不确定性的联网线性系统设计ISM控制器.
- 开发一个事件触发 (ET) 机制来减少数据传输.
- 为了进一步降低网络负载和节省能源,将量子化纳入.
主要方法:
- 重新设计了名义控制器增益,以实现非对称稳定性.
- 间歇性控制使用达到法为有限时间可达性.
- 事件触发的条件来自实际的SM存在的测量误差.
- 量化方案以减少网络传输负担.
- 通过事件间时间的正下限来确保没有Zeno行为.
主要成果:
- 拟议的ISM控制器保证了不确定的网络线性系统的非对称稳定性.
- 事件触发条件确保了实际滑动模式的存在.
- 综合量子化方案有效降低了网络传输负担.
- 没有观察到Zeno行为,证实了系统的可行性.
- 与传统的ISMC相比,控制法减轻了网络负担,减少了输电能耗.
结论:
- 开发的ISM控制器具有事件触发和量子化控制,对于不确定的网络线性系统是有效的.
- 该方法显著降低了网络负载和能源消耗.
- 模拟结果验证了拟议的方法的实际应用.
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