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一类具有混合时滞二阶微分方程的脉冲指数稳定性
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作者 周霞 盛乐园 +1 位作者 储著松 胡午杰 《宿州学院学报》 2016年第1期97-101,共5页
研究了一类具有混合时滞的二阶脉冲微分方程解的稳定性问题。选择合适的V-函数,利用Lyapunov函数法,结合数学归纳法,依据稳定性理论,给出一类具有混合时滞的二阶微分方程在加入适当脉冲后方程是可脉冲指数稳定的充分条件。最后举例说明... 研究了一类具有混合时滞的二阶脉冲微分方程解的稳定性问题。选择合适的V-函数,利用Lyapunov函数法,结合数学归纳法,依据稳定性理论,给出一类具有混合时滞的二阶微分方程在加入适当脉冲后方程是可脉冲指数稳定的充分条件。最后举例说明给出的稳定性条件是有效的。 展开更多
关键词 二阶微分方程 混合时滞 脉冲指数稳定
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A New Approach for Impulsive Stabilization of Liu's System
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作者 刘洋 赵寿为 《Communications in Theoretical Physics》 SCIE CAS CSCD 2010年第5期994-998,共5页
An impulsive control scheme of Liu's system is presented in this paper. Some less conservative conditions with impulses at fixed times are provided, which can guarantee the global asymptotical stability and global ex... An impulsive control scheme of Liu's system is presented in this paper. Some less conservative conditions with impulses at fixed times are provided, which can guarantee the global asymptotical stability and global exponential stability for the impulsive control of Liu's systems. We also present the estimate of the stable region for the equidistance impulsive interval. Furthermore, an illustrative example is given to show the effectiveness of the proposed results. 展开更多
关键词 impulsive control Liu's system global asymptotical stability global exponential stability
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STABILITY FOR THE MIX-DELAYED COHEN-GROSSBERG NEURAL NETWORKS WITH NONLINEAR IMPULSE 被引量:2
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作者 Yong ZHAO Qishao LU Zhaosheng FENG 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2010年第3期665-680,共16页
In this paper,the authors are concerned with the stability of the mix-delayed Cohen-Grossbergneural networks with nonlinear impulse by the nonsmooth analysis.Some novel sufficientconditions are obtained for the existe... In this paper,the authors are concerned with the stability of the mix-delayed Cohen-Grossbergneural networks with nonlinear impulse by the nonsmooth analysis.Some novel sufficientconditions are obtained for the existence and the globally asymptotic stability of the unique equilibriumpoint,which include the well-known results on some impulsive systems and non-impulsive systems asits particular cases.The authores also analyze the globally exponential stability of the equilibriumpoint.Two examples are exploited to illustrate the feasibility and effectiveness of our results. 展开更多
关键词 Asymptotic stability equilibrium point Lyapunov method neural networks nonlinear impulses nonsmooth analysis.
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Pseudo-almost periodic solution for impulsive hematopoiesis model with infinite delays and linear harvesting term 被引量:2
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作者 Zhinan Xia Dingjiang Wang 《International Journal of Biomathematics》 2016年第5期243-259,共17页
In this paper, a generalized impulsive model of hematopoiesis with infinite delays and linear harvesting term is investigated. The main purpose of this paper is to study the existence, uniqueness and exponential stabi... In this paper, a generalized impulsive model of hematopoiesis with infinite delays and linear harvesting term is investigated. The main purpose of this paper is to study the existence, uniqueness and exponential stability of the positive pseudo-almost periodic solutions, which improve and extend some known relevant results. Moreover, an example is given to illustrate the main findings. 展开更多
关键词 Pseudo-almost periodic solutions hematopoiesis model exponentially stable infinite delay linear harvesting term.
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Global Exponential Stability of Fuzzy Cellular Neural Networks with Impulses and Infinite Delays
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作者 ZHU Wei XU Dao-yi 《Journal of Mathematical Research and Exposition》 CSCD 北大核心 2008年第1期1-10,共10页
In this paper, the global exponential stability of fuzzy cellular neural networks with impulses and infinite delays is investigated. Based on an impulsive delayed integro-differential inequality and the properties of ... In this paper, the global exponential stability of fuzzy cellular neural networks with impulses and infinite delays is investigated. Based on an impulsive delayed integro-differential inequality and the properties of fuzzy logic operation and M-matrix, an easily verified sufficient condition is obtained. Moreover, the exponential convergent rate for the fuzzy cellular neural networks with impulses and infinite delays is also given. An example is given to illustrate the effectiveness of our theoretical result. 展开更多
关键词 global exponential stability fuzzy cellular neural networks IMPULSES infinite delays integro-differential inequality.
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