适应性固定时间控制高阶随机非线性时间延迟系统:一个改进的Lyapunov-Krasovskii函数
IEEE transactions on cybernetics
|December 21, 2023
概括
本研究引入了一种新的适应性跟踪控制,用于高阶随机非线性时间延迟系统,实现固定时间稳定. 该方法确保所有信号保持边界,跟踪错误迅速收.
科学领域:
- 控制系统工程 控制系统工程
- 非线性动力学是一种非线性动力学.
- 随机系统 随机系统 随机系统
背景情况:
- 适应性跟踪控制对于复杂的系统至关重要.
- 具有时间延迟的高阶随机非线性系统存在重大控制挑战.
- 实现固定时间稳定性是可预测系统性能的理想条件.
研究的目的:
- 为高阶随机非线性时间延迟系统开发适应性跟踪控制策略.
- 确保半全球实用的固定时间稳定性 (SGPFS).
- 为了保证所有闭环信号 (CLS) 在固定的时间间隔内受到限制.
主要方法:
- 设计一个改进的Lyapunov-Krasovskii函数来处理时间延迟和高阶术语.
- 应用L'Hopital规则对莱普诺夫-克拉索夫斯基函数的局限性分析.
- 运用固定时间利亚普诺夫稳定定理证明稳定性的方法.
主要成果:
- 拟议的控制方案保证了半全球实用的固定时间稳定性 (SGPFS).
- 所有闭环信号 (CLS) 已被证明在固定的时间间隔内受到限制.
- 追踪错误在固定的时间内汇聚到零点附近的一个小区域.
结论:
- 开发的自适应跟踪控制有效地解决了高阶随机非线性时间延迟系统的挑战.
- 改进的利亚普诺夫-克拉索夫斯基函数和固定时间稳定性分析是其关键贡献.
- 模拟结果验证了拟议的控制方案的有效性和稳定性.
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