在动态事件触发下,对静态非线性系统的均性能受约束的固定时间神经控制
Wenjie Si1, Xunde Dong2, Feifei Yang3
1School of Electrical and Control Engineering, Henan University of Urban Construction, Longxiang Avenue, Xincheng District, Pingdingshan, 467036, Henan, China.
ISA transactions
|January 31, 2025
概括
本研究介绍了一种新的固定时间控制策略,用于使用事件触发通信的随机非线性系统. 该方法确保了快速的融合和稳定状态的准确性,同时最大限度地降低了通信负载.
科学领域:
- 控制理论 控制理论
- 非线性系统是非线性系统.
- 随机系统 随机系统 随机系统
背景情况:
- 随机非线性系统由于不确定性和性能限制,在控制方面存在挑战.
- 事件触发通信对于降低控制系统中的通信负载至关重要.
- 实现固定时间稳定性与保证性能是先进控制的一个关键目标.
研究的目的:
- 为具有事件触发通信的随机非线性系统开发一个实用的固定时间控制策略.
- 解决统一的跟踪错误性能约束,并确保快速融合.
- 为了减轻计算复杂性和通信开销.
主要方法:
- 利用一个改进的性能功能与一个不对称的障碍 Lyapunov 功能用于增强的跟踪.
- 通过命令过和错误补偿机制应用实际的固定时间稳定性.
- 设计具有可调节值的动态事件触发机制和用于不确定性估计的RBF神经网络.
主要成果:
- 拟议的控制器确保系统错误在固定的时间内趋于零.
- 系统输出保持在预设边界内,保证所有信号的边界性.
- 控制策略有效地处理系统不确定性,避免奇点问题.
结论:
- 开发的事件触发的固定时间控制对于随机非线性系统是有效的.
- 该方法提供了改进的融合速度,稳定状态精度和减少的通信负载.
- 模拟研究验证了拟议的控制方法的实际适用性和优越性.
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