Delay-Dependent Exponential Stabilization for Linear Distributed Parameter Systems With Time-Varying Delay

被引:28
作者
Wang, Jun-Wei [1 ]
Sun, Chang-Yin [2 ]
机构
[1] Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Minist Educ, Key Lab Knowledge Automat Ind Proc, Beijing 100083, Peoples R China
[2] Southeast Univ, Sch Automat, Nanjing 210096, Jiangsu, Peoples R China
来源
JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME | 2018年 / 140卷 / 05期
基金
中国国家自然科学基金;
关键词
exponential stabilization; distributed parameter systems; time-delay systems; Jensen's inequality; Wirtinger's inequality; FUNCTIONAL-DIFFERENTIAL EQUATIONS; PATTERN-FORMATION; ROBUST STABILITY;
D O I
10.1115/1.4038374
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper extends the framework of Lyapunov-Krasovskii functional to address the problem of exponential stabilization for a class of linear distributed parameter systems (DPSs) with continuous differentiable time-varying delay and spatiotemporal control input, where the system model is described by parabolic partial differential-difference equations (PDdEs) subject to homogeneous Neumann or Dirichlet boundary conditions. By constructing an appropriate Lyapunov-Krasovskii functional candidate and using some inequality techniques (e.g., spatial integral form of Jensen's inequalities and vector-valued Wirtinger's inequalities), some delay-dependent exponential stabilization conditions are derived, and presented in terms of standard linear matrix inequalities (LMIs). These stabilization conditions are applicable to both slow-varying and fast-varying time delay cases. The detailed and rigorous proof of the closed-loop exponential stability is also provided in this paper. Moreover, the main results of this paper are reduced to the constant time delay case and extended to the stochastic time-varying delay case, and also extended to address the problem of exponential stabilization for linear parabolic PDdE systems with temporal control input. The numerical simulation results of two examples show the effectiveness and merit of the main results.
引用
收藏
页数:13
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