基于牙特征的自由矩阵积分不等式及其对采样数据系统的应用
Ying Zhang1, Yong He1, Xing-Chen Shangguan1
1School of Automation, China University of Geosciences, Wuhan 430074, PR China; Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan 430074, PR China; Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education, Wuhan 430074, PR China.
ISA transactions
|February 29, 2024
概括
这项研究为采样数据系统 (SDS) 引入了一种新的自由矩阵积分不等式. 这种新方法通过减少保守主义和计算复杂性来增强稳定性分析.
科学领域:
- 控制理论 控制理论
- 系统工程 系统工程
- 数学分析的数学分析
背景情况:
- 采样数据系统 (SDS) 在稳定性分析中存在独特的挑战,原因是离散时间采样.
- 现有的整数不平等技术往往导致保守主义和复杂的计算,特别是输入延迟.
研究的目的:
- 开发一个新的自由矩阵积分不等式,专门针对SDS输入延迟的牙特征.
- 应用这种新奇的不平等来推导出SDS的不那么保守的稳定性标准.
主要方法:
- 引入一种与输入延迟的牙特征相关的新型自由矩阵.
- 基于牙特征的自由矩阵积分不等式的开发,用于估计Lyapunov-Krasovskii函数 (LKF) 的导数项.
- 增加系统变量来管理二阶项并减少LKF二次估计保守主义.
主要成果:
- 建立一种新的积分不等式技术,采用具有牙特征的自由矩阵.
- 以线性矩阵不等式 (LMI) 的形式推导SDS的稳定性标准.
- 与现有方法相比,减少了保守主义和提高了计算效率的证明.
结论:
- 拟议的基于牙特征的自由矩阵积分不等式为SDS的稳定性分析提供了更有效的方法.
- 该方法成功地减轻了保守主义和计算复杂性,超过了传统技术.
- 通过数值示例和电力市场应用的验证证实了该方法的实际实用性和优越性.
相关概念视频
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