基于智能领导的分布式主动反干扰混合共识控制,用于具有自我触发的冲动控制方案的多代理系统
Wen Qin1, Lei Chen2, Mouquan Shen2
1College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China; The School of Automation, Southeast University, Nanjing, China.
ISA transactions
|September 27, 2025
概括
本研究介绍了多代理系统 (MAS) 的智能领导者-追随者框架,以改善共识跟踪. 这种新的方法增强了适应能力和干扰拒绝,这对于在动态环境中强大的性能至关重要.
科学领域:
- 机器人和控制系统 机器人和控制系统
- 分布式系统和人工智能
背景情况:
- 多代理系统 (MAS) 在外部干扰下难以跟踪共识,特别是在领导者-追随者设置中.
- 在传统的MAS中,静态的领导者缺乏适应能力和有效的干扰拒绝.
- 实现强大的共识跟踪需要针对动态环境的先进控制策略.
研究的目的:
- 为MAS提出一个新的智能领导者-追随者混合控制框架.
- 在共识跟踪中增强适应性,稳定性和干扰拒绝能力.
- 降低通信成本,提高系统效率和可扩展性.
主要方法:
- 一个聪明的领导者通过自动触发的冲动邻居信息来动态调整控制.
- 追随者利用自动触发的冲动反与通过线性扩展状态观察员 (LESO) 的前控制相结合.
- 该框架集成了动态自触发和LESO,用于实时干扰补偿.
主要成果:
- 拟议的框架大大减少了跟踪错误,并增强了系统的凝聚力.
- 智能领导者的动态调整改善了追随者的错误系统固有值,以更快地跟踪.
- 莱索有效地补偿实时干扰,表现出强大的干扰拒绝能力.
- 模拟验证了框架的效率,稳定性和可扩展性.
结论:
- 智能领导者-追随者混合控制框架为MAS共识跟踪提供了重大进步.
- 自动触发冲动控制和LESO的整合提供了卓越的适应性和干扰排斥.
- 这种方法为复杂的多代理协调问题提供了灵活,高效和可扩展的解决方案.
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