一类离散时滞切换系统的稳定性分析

对一类子系统含有离散时滞项的切换系统,研究了其渐近稳定的问题。通过引入一个矩阵,将受约束的二次型转换为不受约束的二次型,然后利用多Lyapunov函数法得出了这类切换系统渐近稳定的一个充分条件。最后通过一个仿真算例,验证了所得结论的正确性。     

离散时滞Lur’e系统时滞依赖性稳定性判据

本文研究了离散时滞Lur’e系统的绝对稳定性和鲁棒绝对稳定性问题,包含时变时滞和扇形有界约束的非线性.首先,构造了新颖的李雅普诺夫-克拉索夫斯基泛函(Lyapunov-Krasovskii functional, LKF),其中,为了增补时变时滞区间和其他系统状态变量之间的耦合信息, LKF中扩充了一些重要的向量.其次,结合改进的基于自由权重矩阵求和不等式技巧,推导了一些比已有结论保守性更低的绝对和鲁棒绝对稳定性判据.稳定性判据保守性的减小主要归功于改进的LKF和求和不等式技巧.最后,通过几个文献中常用的数值算例的求解仿真来说明本文判据的有效性和先进性.     

随机时滞神经网络的全局指数稳定性

首先对一般随机系统的渐近特性进行了讨论.然后结合神经网络的特点,应用李雅普诺夫第二方法对一类随机时滞神经网络系统的全局指数稳定性进行了分析,给出了易于判定随机时滞神经网络几乎必然指数稳定性新的代数判据,并给出实例进行仿真实验.     

不确定离散时滞中立神经网络鲁棒稳定性分析

针对一类具有离散时滞和参数范数有界的不确定性中立神经网络的全局渐近鲁棒稳定性问题,通过应用范数和矩阵不等式分析方法,构造合适的Lyapunov-Krasovskii泛函,得到了新的与时滞无关的稳定性充分条件。该条件能够保证离散时滞中立神经网络在平衡点全局渐近鲁棒稳定。与现有文献中大多数LMI形式的稳定性准则不同,该稳定性判定准则中未知参数少且计算复杂度低,易于计算验证。最后,一个仿真算例验证了结论的有效性。     

时滞系统变结构控制设计的新方法

本文研究了两类时滞控制系统，用不同方法分别对它们进行了变结构控制设计。所设计的控制器简单，易于实现且精确度高。     

一类时滞神经网络的全局指数稳定性

利用M-矩阵和拓扑学等有关知识,通过构建向量李雅普诺夫函数,研究了一类包含分布时滞和可变时滞的神经网络的平衡点的存在性、唯一性及其全局指数稳定性。在没有假定激励函数有界、可微的情况下,得到了该类神经网络平衡点的存在性、唯一性及其在平衡点全局指数稳定的充分判据。该判据计算简便,且与时间滞后量无关,便于在实践中应用。文中给出了一个算例。     

离散多时滞系统的时滞相关鲁棒稳定性分析

研究了具有凸多面体不确定性的离散多时滞系统鲁棒稳定性问题．通过引入一种新的二次型的有限和不等式,采用参数依赖型Lyapunov泛函,导出了适用于具有凸多面体不确定性离散时滞系统的一个新的时滞相关稳定性条件．该方法不需要进行系统模型变换即可得到时滞相关的结果,和已有文献相比,所得结果具有更小的保守性．数值例子说明了该方法的有效性．     

基于模糊状态模型的连续系统控制器设计和稳定性分析

首先给出连续系统模糊状态模型的表示方法,在此基础上给出了一种模糊状态反馈控制器的设计方法,对其稳定性进行了分析,得出了一个确保系统全局稳定的充分条件.同时也提出一种模糊观测器的设计方法,并对其收敛性进行分析,得出了确保收敛的一个充分条件.     

一类离散时滞系统的复杂动力学行为研究

在混沌巨大潜在应用前景的推动下,混沌控制已经引起了学者们越来越浓厚的研究兴趣.混沌的一些特征参量为系统是否呈现混沌行为提供了直接的判断依据.针对一类离散时滞系统,研究系统动力学行为随时滞参数变化的情况.在得到系统有界的前提下,分析一类基于传染病传播机理的复杂网络模型,研究传染病的传播动力学行为随最大李雅普诺夫指数变化的情况.基于Wolf重构法,仿真出系统最大李雅普诺夫指数随着时滞参数变化的曲线图.当最大李雅普诺夫指数大于零,系统呈现混沌行为,传染病在有界区域内传播;反之,系统收敛,传染病则会慢慢的消失.     

Stochastic stability analysis for neutral-type Markov jump neural networks with additive time-varying delays via a new reciprocally convex combination inequality

This paper investigates the stochastic stability problem for a class of neutral-type Markov jump neural networks with additive time-varying delays. Firstly, to derive a tighter lower bound of the reciprocally convex quadratic terms, a new reciprocally convex combination inequality is established by using parameters transformation approach. Secondly, by fully considering the peculiarity of various time-varying delays and Markov jumping parameters, an eligible stochastic Lyapunov–Krasovskii functional is constructed. Then, by employing the new reciprocally convex combination inequality and other analytical techniques, some novel stability criteria are provided in the forms of linear matrix inequalities. Finally, four illustrated examples are given to verify the effectiveness and feasibility of the proposed methods.     

Stability analysis for continuous systems with two additive time-varying delay components

This paper presents a new result of stability analysis for continuous systems with two additive time-varying delay components, which represent a general class of delay systems with strong application background in network based control systems. This criterion is expressed as a set of linear matrix inequalities, which can be readily tested by using standard numerical software. A numerical example is provided to show the effectiveness and advantage of the proposed stability condition.     

Improved delay-dependent stability criteria for neural networks with two additive time-varying delay components

In this paper, the problem of stability criteria of neural networks with two additive time-varying delay components is investigated. Some new delay-dependent stability criteria are derived in terms of linear matrix inequalities by choosing a new class of Lyapunov functional. The obtained criteria are less conservative because reciprocally convex approach and convex polyhedron approach are considered. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.     

Stability analysis of systems via a new double free-matrix-based integral inequality with interval time-varying delay

ABSTRACT

This paper investigates the problem of delay-dependent stability analysis for systems with interval time-varying delay. By means of a new double free-matrix-based integral inequality and augmented Lyapunov–Krasovskii functionals containing as much information of time-varying delay as possible, a new stability criterion for systems is established. Firstly, by a double integral term two-step estimation approach and combined with single free-matrix-based integral inequalities, a stability criteria is presented. Then, compared with the double integral term two-step estimation approach, the proposed new double free-matrix-based integral inequality with more related time delays has potential to lead to a criterion with less conservatism. Finally, the validity of the presented method is demonstrated by two numerical examples.     

Reliable control for linear systems with time-varying delays and parameter uncertainties

In this paper, reliable control for linear systems with time-varying delays and parameter uncertainties is considered. By constructing newly augmented Lyapunov–Krasovskii functionals and utilizing some mathematical techniques such as Leibnitz's rule, Schur's complement, reciprocally convex combination, and so on, a reliable controller design method for linear systems with time-varying delays and parameter uncertainties will be suggested in Theorem 1. Based on the result of Theorem 1, a non-reliable stabilization criterion will be presented in Corollary 1. Theorem 1 and Corollary 1 are derived within the framework of linear matrix inequalities(LMIs) which can be easily solved by utilizing various optimization algorithms. Two numerical examples are included to show the effectiveness and necessity of the proposed results.     

Stability analysis of discrete-time systems with additive time-varying delays

In this paper, the problem of stability analysis of discrete-time delay systems with two additive time-varying delays is considered. A new stability result is derived for a general class of delay systems which has practical application background in networked control systems . The stability criterion is expressed in the form of linear matrix inequalities (LMIs), which can be readily solved by using standard numerical software. An illustrative example is provided to show the advantage of the proposed stability condition.     

混合变时滞不确定中立型系统鲁棒稳定性分析

研究一类含混合变时滞不确定中立系统时滞相关鲁棒稳定性问题。基于时滞中点值,把时滞区间均分成两部分,通过构造包含时滞中点信息的增广泛函和三重积分项的Lyapunov-Krasovskii (L-K)泛函,利用L-K稳定性定理、积分不等式方法和自由权矩阵技术,建立了一种基于线性矩阵不等式(LMI)的、与离散时滞和中立时滞均相关的鲁棒稳定性判据。数值算例表明,该判据改善了已有文献的结论,具有更低的保守性。     

Stability results for stochastic bidirectional associative memory neural networks with multiple discrete and distributed time-varying delays

This paper is concerned with the global asymptotic stability of a class of stochastic bidirectional associative memory neural networks with both multiple discrete and distributed time-varying delays. A new criterion of asymptotic stability is derived in terms of linear matrix inequality, which can be efficiently solved by a standard numerical software. An illustrative numerical example is also given to show the applicability and effectiveness of the proposed results.     

Delay dependent robust stability of singular systems with additive time-varying delays

This paper considers the problem of delay-dependent robust stability for uncertain singular systems with additive time-varying delays. The purpose of the robust stability problem is to give conditions such that the uncertain singular system is regular, impulse free, and stable for all admissible uncertainties. The results are expressed in terms of linear matrix inequalities (LMIs). Finally, two numerical examples are provided to illustrate the effectiveness of the proposed method.     

Absolute stability of nonlinear systems with two additive time-varying delay components

In this paper, we present a new sufficient condition for absolute stability of Lure system with two additive time-varying delay components. This criterion is expressed as a set of linear matrix inequalities (LMIs), which can be readily tested by using standard numerical software. We use this new criterion to stabilize a class of nonlinear time-delay systems. Some numerical examples are given to illustrate the applicability of the results using standard numerical software.