李雅普诺夫函数
控制理论(社会学)
采样(信号处理)
李雅普诺夫方程
Lyapunov重新设计
常量(计算机编程)
数学
上下界
代表(政治)
Lyapunov优化
理论(学习稳定性)
功能(生物学)
应用数学
计算机科学
控制(管理)
非线性系统
数学分析
程序设计语言
法学
人工智能
政治
物理
机器学习
滤波器(信号处理)
生物
进化生物学
量子力学
计算机视觉
政治学
出处
期刊:Automatica
[Elsevier]
日期:2009-12-01
卷期号:46 (2): 421-427
被引量:1048
标识
DOI:10.1016/j.automatica.2009.11.017
摘要
This paper considers sampled-data control of linear systems under uncertain sampling with the known upper bound on the sampling intervals. Recently a discontinuous Lyapunov function method was introduced by using impulsive system representation of the sampled-data systems (Naghshtabrizi, Hespanha, & Teel, 2008). The latter method improved the existing results, based on the input delay approach via time-independent Lyapunov functionals. The present paper introduces novel time-dependent Lyapunov functionals in the framework of the input delay approach, which essentially improve the existing results. These Lyapunov functionals do not grow after the sampling times. For the first time, for systems with time-varying delays, the introduced Lyapunov functionals can guarantee the stability under the sampling which may be greater than the analytical upper bound on the constant delay that preserves the stability. We show also that the term of the Lyapunov function, which was introduced in the above mentioned reference for the analysis of systems with constant sampling, is applicable to systems with variable sampling.
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