具有未知执行器故障的非线性多代理系统的预规定的性能驱动触发共识
IEEE transactions on cybernetics
|September 22, 2025
概括
本研究介绍了面临未知的执行器故障的非线性多元代理系统 (MAS) 的新控制协议. 该方法使用传感器触发的采样和神经估计来达成共识,提高系统的弹性和性能.
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
- 机器人技术 机器人技术 机器人技术
背景情况:
- 多代理系统 (MAS) 在各种应用中至关重要.
- 在具有不确定性的非线性MAS中达成共识是具有挑战性的.
- 执行器故障和间歇性通信阻碍了系统的性能.
研究的目的:
- 为未知执行器故障的非线性MAS开发一种新的共识协议.
- 为应对由传感器触发的机制和间歇性数据所带来的挑战.
- 为了提高MAS的稳定性和故障耐受性.
主要方法:
- 一个使用传感器触发机制的领导者-追随者共识协议.
- 一个神经估计算法用于故障估计.
- 对间歇性数据的信号分解和补偿策略.
- 一个适应性故障管理机制,用于未知的执行器故障.
- 具有补偿条款的非线性过器,以避免设计复杂性.
主要成果:
- 拟议的传感器事件触发机制涉及采样和信息传输.
- 一个策略有效地平衡间歇性传感器数据与真实系统输入.
- 一个故障管理机制解决了追随者的未知执行器故障.
- 使用非线性过器可以减轻后退设计的复杂性.
- 模拟结果验证了开发的控制协议的有效性.
结论:
- 新的控制协议成功地在非线性MAS中实现了预规定的性能共识.
- 该方法证明了对未知的执行器故障和间歇性通信的弹性.
- 该方法为复杂的非线性多代理系统提供了强大的解决方案.
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