一个数据驱动的子空间分布式故障检测策略,用于线性异质多代理系统
Nasim Yazdanpanah1, Malihe Maghfoori Farsangi1, Saeid R Seydnejad1
1Department of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran.
ISA transactions
|January 24, 2024
概括
为线性异质多代理系统 (MAS) 开发了一种新的数据驱动故障检测策略. 这种方法有效地识别了同时发生的故障,而不需要代理通信,从而提高了系统的可靠性.
科学领域:
- 控制系统工程 控制系统工程
- 人工智能的人工智能
- 分布式系统 分布式系统
背景情况:
- 多代理系统 (MAS) 由于异质的代理动态,在故障检测方面经常面临挑战.
- 现有的故障检测方法可能需要集中控制或代理间通信,限制可扩展性和稳定性.
研究的目的:
- 为线性异质MAS引入一种新的,数据驱动的,分布式故障检测策略.
- 通过消除对集中信息或通信的需求,解决现有方法的局限性.
主要方法:
- 采用子空间构造技术来模拟个体代理的正常行为.
- 开发了一种去中心化的方法,在每个代理上本地处理数据.
- 专注于检测与正常操作参数的偏差.
主要成果:
- 成功地证明了在异质MAS中检测不同剂的同时故障的能力.
- 通过模拟验证了拟议的数据驱动战略的有效性和效率.
- 展示了故障检测过程与代理间通信的独立性.
结论:
- 拟议的数据驱动子空间分布式故障检测策略为异质MAS提供了显著的进步.
- 这种方法提供了一个强大而有效的工具,可以提高复杂的多代理系统的可靠性和安全性.
- 该方法的分散性使其适用于通信受限制的大规模和复杂的系统.
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