事件触发的低计算自适应输出反模糊跟踪控制不确定的非线性系统
Ding Zhao1, Xin-Yu Ouyang1, Nan-Nan Zhao1
1School of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan, Liaoning, 114051, PR China.
ISA transactions
|November 1, 2023
概括
本研究为不确定的系统引入了一个模糊的自适应跟踪控制方案. 这种创新方法减少了计算负载和数据传输,以更少的资源确保性能.
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
- 系统科学 系统科学
背景情况:
- 为无法测量状态的不确定系统设计控制器是具有挑战性的.
- 现有的控制方案往往需要大量的计算和传输资源.
- 复杂性爆炸是先进控制策略中的一个常见问题.
研究的目的:
- 为具有不可测量状态的不确定系统开发一个模糊的自适应跟踪控制方案.
- 为了减少控制系统的计算和传输资源需求.
- 为了实现规定的动态和稳定状态性能指标.
主要方法:
- 集成了一个模糊状态观察者,使用模糊逻辑系统 (FLS) 中的状态估计.
- 控制方案避免了复杂性爆炸,没有额外的命令过器或动态表面控制.
- 使用事件触发控制策略来最大限度地减少数据传输.
主要成果:
- 拟议的模糊自适应跟踪控制方案表明计算复杂度低.
- 通过事件触发机制实现了数据传输的显著减少.
- 控制器有效地管理不确定的系统与不可测量的状态.
结论:
- 开发的模糊自适应跟踪控制方案对不确定的系统有效.
- 该方法为控制应用提供了一个资源高效的解决方案.
- 该方法成功地满足了性能要求,同时最大限度地降低了复杂性和数据传输.
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