一种基于信号平滑性的方法,用于严格反的非线性系统的规定的性能控制,具有量化
1College of Information Science and Engineering, Northeastern University, Shenyang 110819, China.
ISA transactions
|July 16, 2024
概括
这项研究为面临状态和输入量化,干扰和未知函数的非线性系统提供了一个新的量化控制方案. 该方法确保了有界的性能,而不需要估计不确定性或要求推导计算.
科学领域:
- 控制系统工程 控制系统工程
- 非线性动力学是一种非线性动力学.
- 信号处理 信号处理
背景情况:
- 严格反的非线性系统经常面临状态/输入量化和未知干扰的挑战.
- 传统的后退方法与不可区分的量子化状态作斗争.
研究的目的:
- 为具有量化和不确定性的非线性系统制定强有力的规定的性能控制策略.
- 为了克服后退控制中状态定量化引起的可分化问题.
主要方法:
- 使用平滑近似技术来处理不连续的量子化状态.
- 一个新的量子化控制方案是基于平滑近似设计的.
- 规定的性能极限被纳入控制设计中.
主要成果:
- 拟议的控制方案保证所有闭环信号都保持在规定的性能限制内.
- 该方法有效地处理未知的非线性和干扰,没有明确的估计.
- 消除了对稳定函数导数的需求,这是量子化的问题.
结论:
- 提出的量子化控制方法对于具有量子化和不确定性的严格反非线性系统是有效的.
- 该方法在实际的系统约束下提供了更好的稳定性和性能保证.
- 消除衍生计算简化了控制器设计,并增强了稳定性分析.
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