对于具有执行器故障的人在循环多代理系统的最佳固定时间控制
IEEE transactions on cybernetics
|November 19, 2025
概括
这项研究为具有执行器故障的人在循环多代理系统 (HiTL MASs) 提供了最佳的固定时间控制. 该方法确保系统信号保持在固定的时间内,即使有故障,优化性能和能源.
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) 对于复杂的任务需要强大的控制策略.
- 人在循环 (HiTL) 系统增强了适应能力,但引入了控制挑战.
- 执行器故障可能会降低MASS中的系统性能和稳定性.
研究的目的:
- 为HiTL MASs开发一个最佳的固定时间跟踪控制方案.
- 在控制框架内解决执行器故障.
- 为了确保有限的系统信号和有效的追踪在有限的时间.
主要方法:
- 一个基于简化最佳控制的HiTL最佳控制协议.
- 将同步错误和领导输入嵌入到成本函数中.
- 一个新的强化学习 (RL) 算法,用于固定时间收的指数项.
主要成果:
- 拟议的控制方案在HiTL监督下实现了最佳的跟踪控制.
- RL算法确保了系统信号的固定时间收.
- 执行器故障补偿是集成的,保持系统性能.
- 所有闭环系统的信号都被证明在固定的时间内受到限制.
结论:
- 开发的最佳固定时间跟踪控制对具有执行器故障的HiTL MAS有效.
- 强化学习方法提高了融合速度和能源效率.
- 控制方案保证在有限的时间内稳健和有限的系统行为.
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