使用连续时间观察器和样本间输出预测器的联网交换非线性系统的输出反稳定
Jiani Cheng1, Jingxin Huang1, Xiangze Lin1
1College of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210031, PR China.
ISA transactions
|August 31, 2025
概括
这项研究使用事件触发的采样和观察者稳定了网络非线性系统. 它通过使用静态和动态采样机制来实现系统稳定,以改善控制.
科学领域:
- 控制系统工程
- 非线性动力学
- 网络系统
背景情况:
- 由于采样和延误,网络系统在状态估计和控制方面带来了挑战.
- 与定期采样相比,事件触发采样通过减少数据传输提供了效率.
研究的目的:
- 在事件触发采样下开发非线性平面系统的输出稳定控制策略.
- 设计用于状态估计的跨样本输出预测器的连续时间观察器.
主要方法:
- 采用混合框架,将连续时间观察者与离散时间采样事件结合起来.
- 使用静态和动态事件触发的采样机制.
- 设计切换了样本间输出预测器以估计无法测量的状态.
主要成果:
- 在静态事件触发采样下实现交换系统的全局终极边界性.
- 在动态事件触发采样下保证交换系统的全局异常稳定性.
- 通过模拟来证明拟议的仿真方法的有效性.
结论:
- 提出的方法有效地稳定了联网的非线性交换系统.
- 交换连续时间观察器与样本间输出预测器相结合,提供了一个强大的方法.
- 突出的是连续时间观察设计与离散采样优势的整合.
相关概念视频
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