Improved integral inequality approach on stabilization for continuous-time systems with time-varying input delay

被引:31
作者
Cheng, Jun [1 ]
Xiong, Lianglin [2 ]
机构
[1] Yunnan Minzu Univ, Sch Elect & Informat Technol, Kunming 650500, Yunnan, Peoples R China
[2] Yunnan Minzu Univ, Sch Math & Comp Sci, Kunming 650500, Yunnan, Peoples R China
基金
中国国家自然科学基金;
关键词
Time-varying input delay; Linear matrix inequality; Lyapunov-Krasovskii functional; JUMPING NEURAL-NETWORKS; LINEAR-SYSTEMS; STABILITY ANALYSIS; ROBUST STABILITY; STATE; SYNCHRONIZATION; BOUNDEDNESS; FEEDBACK; CRITERIA; DESIGN;
D O I
10.1016/j.neucom.2015.02.026
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This study is concerned with the issue of output delay-dependent stabilization criteria for continuous-time systems with time-varying input delays. By introducing an augment Lyapunov-Krasovskii functional and a new integral inequality, a new reduced conservative condition is obtained in terms of linear matrix inequalities (LMIs). At last, numerical examples are also designated to demonstrate the effectiveness and reduced conservatism of the developed results. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:274 / 280
页数:7
相关论文
共 33 条
[1]  
Cao J., 2014, SCI WORLD J, V2014, P4
[2]   Delay-dependent stability analysis and controller synthesis for Markovian jump systems with state and input delays [J].
Chen, Bing ;
Li, Hongyi ;
Shi, Peng ;
Lin, Chong ;
Zhou, Qi .
INFORMATION SCIENCES, 2009, 179 (16) :2851-2860
[3]   Finite-time filtering for switched linear systems with a mode-dependent average dwell time [J].
Cheng, Jun ;
Zhu, Hong ;
Zhong, Shouming ;
Zheng, Fengxia ;
Zeng, Yong .
NONLINEAR ANALYSIS-HYBRID SYSTEMS, 2015, 15 :145-156
[4]   Stochastic finite-time boundedness for Markovian jumping neural networks with time-varying delays [J].
Cheng, Jun ;
Zhu, Hong ;
Ding, Yucai ;
Zhong, Shouming ;
Zhong, Qishui .
APPLIED MATHEMATICS AND COMPUTATION, 2014, 242 :281-295
[5]   Finite-time boundedness of state estimation for neural networks with time-varying delays [J].
Cheng, Jun ;
Zhong, Shouming ;
Zhong, Qishui ;
Zhu, Hong ;
Du, Yuanhua .
NEUROCOMPUTING, 2014, 129 :257-264
[6]   Stabilization for state/input delay systems via static and integral output feedback [J].
Du, Baozhu ;
Lam, James ;
Shu, Zhan .
AUTOMATICA, 2010, 46 (12) :2000-2007
[7]   New conditions for delay-derivative-dependent stability [J].
Fridman, Emilia ;
Shaked, Uri ;
Liu, Kun .
AUTOMATICA, 2009, 45 (11) :2723-2727
[8]   Optimal finite-time passive controller design for uncertain nonlinear Markovian jumping systems [J].
He, Shuping ;
Liu, Fei .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2014, 351 (07) :3782-3796
[9]   New and improved results on stability of static neural networks with interval time-varying delays [J].
Kwon, O. M. ;
Park, M. J. ;
Park, Ju H. ;
Lee, S. M. ;
Cha, E. J. .
APPLIED MATHEMATICS AND COMPUTATION, 2014, 239 :346-357
[10]   Mean-square exponential stability for stochastic discrete-time recurrent neural networks with mixed time delays [J].
Li, Jian-Ning ;
Li, Lin-Sheng .
NEUROCOMPUTING, 2015, 151 :790-797