高级控制屏障功能为基础的强大的安全关键控制与采样数据输入
IEEE transactions on cybernetics
|September 8, 2025
概括
这项研究确保了使用新型控制器对具有不确定模型和采样数据输入的非线性系统的安全性. 该方法保证了安全集的强大的前向不变性,这对于可靠的系统运行至关重要.
科学领域:
- 控制理论 控制理论
- 非线性动态系统 非线性动态系统
- 机器人技术 机器人技术 机器人技术
背景情况:
- 在具有模型不确定性的非线性动态系统中确保安全是具有挑战性的.
- 采样数据控制引入了由于离散时间输入的复杂性.
- 对模型不确定性的稳定性对于现实应用至关重要.
研究的目的:
- 为具有模型不确定性的采样数据非线性系统开发强大的控制方法.
- 在这些条件下保证安全套的向前不变性.
- 为了减轻不确定性观察错误对安全约束的影响.
主要方法:
- 一个具有不确定性补偿和状态反的连续时间复合控制器的设计.
- 整合一个非线性观察者来估计不确定性.
- 采样数据控制器的制定,使用修改了高阶控制障碍函数 (HOCBF) 约束的二次程序 (QP).
- 导出足够的条件来实现强大的前期不变性.
主要成果:
- 拟议的控制器确保了对不确定的采样数据非线性系统的安全集的强大的前向不变性.
- 该方法有效地减轻了不确定性观察错误的不利影响.
- 模拟实验验证了拟议方法的成功安全保证.
结论:
- 开发的采样数据控制策略有效地保证了系统安全.
- 该方法为具有模型不确定性的非线性动态系统提供了可靠的解决方案.
- 这项工作有助于安全关键系统的可靠运行,并具有离散时间控制.
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