关于非线性采样数据系统的稳定性及其连续时间限制
Alexis J Vallarella1, Hernan Haimovich1
1Centro Internacional Franco-Argentino de Ciencias de la Información y de Sistemas (CIFASIS), CONICET-UNR, Ocampo y Esmeralda, 2000 Rosario, Argentina.
ISA transactions
|July 12, 2023
概括
本研究分析了具有不同采样时间的非线性采样数据系统. 它展示了如何通过检查相关的连续时间系统来预测系统稳定性,改进了对非线性系统的现有方法.
科学领域:
- 控制理论 控制理论
- 系统工程 系统工程
- 非线性动力学是一种非线性动力学.
背景情况:
- 非线性采样数据系统在稳定性分析中存在挑战,原因是采样不均.
- 现有的方法往往为这些系统提供有限的稳定性保证 (例如实际稳定性).
- 分析精确的离散时间模型可能很复杂.
研究的目的:
- 开发非线性采样数据系统在非统一采样下稳定性分析的新方法.
- 建立离散时间模型稳定性和连续时间系统稳定性之间的关系.
- 为了实现比目前可能更强的稳定性预测 (非对称稳定性).
主要方法:
- 对非线性采样数据系统的稳定性属性的分析.
- 精确的离散时间模型和相关的连续时间系统 (随着最大采样期接近零) 的稳定性之间的关系的推导.
- 推导结果与关于采样数据系统稳定性的现有文献进行比较.
主要成果:
- 在离散时间模型的稳定性和连续时间系统极限之间建立了新的关系.
- 通过分析连续时间系统来推断采样数据系统稳定性的简化方法.
- 与现有文献相比,可以证明非线性系统具有更强的非对称稳定性.
结论:
- 拟议的方法提供了一种更有效的方式来分析非线性采样数据系统的稳定性.
- 这些发现允许在以前只能实现实际稳定性的情况下,改进 (非对称) 稳定性保证.
- 这种方法通过利用相关的连续时间系统的特性来简化稳定性分析.
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