在非高斯噪声下进行实践控制的双重风险受约束的LQR的初级双重方法
Xi-Xi Ji1, Cheng-Lin Liu1, Ya Zhang2
1Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Institute of Automation, Jiangnan University, Wuxi, 214122, China.
ISA transactions
|December 30, 2025
概括
本研究引入了一种新的双风险受约束的线性二次调节器 (DRC-LQR),用于加强对具有非高斯干扰的系统的控制. 在关键应用中,DRC-LQR提供了更好的稳定性和安全性.
科学领域:
- 控制系统工程 控制系统工程
- 非高斯式随机过程的非高斯式随机过程
- 优化理论 优化理论
背景情况:
- 传统的控制方法与非高斯和偏差干扰作斗争.
- 现有的风险敏感控制通常使用单一风险或风险中性配方.
- 部分可观测系统需要强大的控制策略来确保稳定性和性能.
研究的目的:
- 为部分可观测系统的实际控制提供双重风险受限制的线性二次调节器 (DRC-LQR).
- 开发一种方法,在非高斯条件下共同约束状态和输出可变性.
- 推进面临极端干扰的安全关键系统的风险敏感控制设计.
主要方法:
- 使用一个可计算处理的初级-双元优化框架.
- 这种方法明确地弥补了噪音偏差和沉重的尾巴.
- 无限地平线的配方确保了关节的稳定性和约束的满足.
主要成果:
- 模拟显示,与标准LQR相比,调节精度提高了60%以上.
- 实现了93.7%更快的融合和99.8%的约束满足.
- 在飞机飞行控制和电压调节方面表现出卓越的稳定性和实用性.
结论:
- DRC-LQR是LQR的一个系统和可实现的扩展.
- 该方法为非高斯干扰提供了理论严谨性和现实世界的可行性.
- 在极端条件下对安全关键系统进行风险敏感控制.
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