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Data-driven robust reference governor for constrained nonlinear systems

delete2025-10-01
delete0
PRE
AI
Y
Yao Shi
J
J. M. Maestre
Z
Zhe Wu *
L
Lei Xie
DOI：10.1080/00207179.2025.2575289delete
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摘要

摘要

En 中文
我们提出了一种数据驱动的鲁棒参考调节器（DRRG）框架，用于处理具有未知动力学和不确定性的非线性系统中的输出约束。通过引入Koopman算子，DRRG首先将非线性系统动力学映射到高维线性空间，从而实现更有效的数据驱动预测。随后，我们利用高维数据驱动预测器开发了一种数据驱动的最大可接受集（MAS）和一个极小极大优化问题，以计算能够抵抗所有可能不确定性实现的优化参考信号。所提出的DRRG方法为在保留现有控制架构的同时提高对不确定性的鲁棒性提供了实用解决方案。文中通过数值仿真展示了该方法的有效性。
Keyword:
Reference governor
data-driven control
nonlinear system
maximal admissible set
min-max optimisation

期刊

I
International Journal of Control
IF:
1.6
论文数:
92
被引数:
0

机构

Z
Zhejiang University
学者数:
1.5W
论文数: 5.2K
被引数: 17.8W
N
national university of singapore
学者数:
4.6K
论文数: 2.4K
被引数: 1
U
University of Sevilla
学者数:
1.9W
论文数: 1.7W
被引数: 15
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