对于具有自我调节中间事件触发方法的多代理系统,基于钉定的神经控制
IEEE transactions on neural networks and learning systems
|April 22, 2024
概括
本研究引入了一个新的事件触发 (ET) 道跟踪控制不确定的非线性多代理系统 (MAS). 该策略使用自我调节和固定控制来实现高效,不连续的信号更新,确保系统稳定性.
科学领域:
- 控制系统工程 控制系统工程
- 网络化系统 网络化系统
- 非线性动力学是一种非线性动力学.
背景情况:
- 多代理系统 (MAS) 由于非线性和不确定性,在控制方面存在挑战.
- 现有的控制策略往往需要持续更新信号,导致高通信和计算负载.
研究的目的:
- 为不确定的非线性MAS开发事件触发 (ET) 道跟踪控制策略.
- 通过自我调节和中间触发来减少控制信号更新.
- 确保系统稳定性和性能,尽管存在不确定性和故障.
主要方法:
- 一个基于固定的自我调节的中间事件触发 (ET) 道跟踪控制策略.
- 控制器设计的后退框架.
- 基于追踪错误的自我调节触发条件.
- 漏斗方法用于限制错误.
- 干扰观察员用于故障补偿.
主要成果:
- 拟议的策略实现了只使用通信权重的跟踪控制,没有额外的反参数.
- 不连续的控制器信号更新通过中间触发信号被启用.
- 漏斗方法有效地限制错误并减轻控制信号的影响.
- 利亚普诺夫稳定定理证实了闭环系统的半全球均最终边界 (SGUUB) 性能.
结论:
- 开发的基于固定的ET漏斗跟踪控制策略对不确定的非线性MAS有效.
- 自调和中间触发机制显著降低了控制信号负担.
- 该方法确保了强大的稳定性和性能,并通过模拟验证.
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