不确定变时滞模糊随机系统鲁棒稳定性

本文研究了不确定T-S模糊随机时滞系统的时滞相关鲁棒稳定性问题,这里的不确定性是范数有界的.通过构造新的Lyapunov泛函和矩阵不等式引理,利用具有时滞的非线性随机系统的Lypaunov稳定性理论和自由权矩阵方法,导出了使系统鲁棒均方指数稳定的时滞相关线性矩阵不等式(LMI)条件.该判据具有较低的保守性,适用时滞变化率大于1的情形.最后通过数值例子验证了所得结果的有效性.     

具有外部扰动分布时滞的不确定性Markov跳变系统的指数稳定性

本文讨论了更为广泛的具有分布型时滞,双线性马尔可夫过程跳变参数的不确定性系统。分析了该系统的鲁棒均方指数稳定性。设计了鲁棒反馈镇定控制器。基于LMI方法,得到了系统均方指数稳定的充分条件。在一定程度上推广了离散时滞下的相应系统的结果。     

不确定多重时滞中立系统的时滞相关鲁棒H∞控制

本文利用一个新的积分不等式方法讨论了一类不确定多重时滞中立系统的时滞相关鲁棒H∞控制器设计问题.该中立系统的状态项、控制项、微分项、外部干扰输入项均含有时滞.首先,利用Lyapunov稳定性理论,推导出系统鲁棒可镇定的充分条件.在此基础上,进一步给出了鲁棒H∞控制器存在的充分条件.不需要对原系统进行模型变换,仿真算例说明了定理的可行性.     

一类具有范数有界不确定性的非线性时滞系统的控制

本文研究了一类具有范数有界不确定性的非线性时滞系统的鲁棒稳定性及其控制问题,结合Lyapunov稳定性定理、线性矩阵不等式及自由权矩阵,给出了系统的状态反馈鲁棒二次稳定的充分条件以及控制器的设计,并建立了一个具有线性矩阵不等式约束的凸优化问题,得到不确定时滞系统的最优状态反馈控制律.仿真示例说明了该方法的可行性.     

中立型灰色随机分布时滞系统的指数鲁棒稳定性

为了得到一类中立型灰色随机分布时滞系统的指数鲁棒稳定性,本文利用Lyapunov-Krasovskii泛函法、灰矩阵的连续矩阵覆盖的分解技术和Ito公式,分别得到了以非线性矩阵不等式和线性矩阵不等式(LMI)表示的该系统指数鲁棒稳定的时滞依赖性判据。对非线性矩阵不等式判据,我们给出了一般性算法,解决了非线性矩阵不等式判据不便于实际应用的问题。数值例子表明,本文所给判据是有效的,且系统的指数稳定性和时滞,随着绝对灰度矩阵的谱范数的增大而减小。     

含非线性扰动的混合变时滞中立系统鲁棒稳定性新判据

中立型时滞系统在工程实际中有着广泛应用背景.本文研究了一类含非线性扰动的混合变时滞中立型系统地鲁棒稳定性问题.基于直接Lyapunov泛函方法,通过构造一类新的包含时滞区间上下界的三重积分项Lyapunov-Krasovskii泛函,并结合积分不等式方法、自由权矩阵技术和凸组合处理方法,建立了一种新的线性矩阵不等式形式的离散时滞和中立时滞均相关的鲁棒稳定性判据.最后,通过数值算例验证了新判据的有效性和优越性,和一些已有文献相比,本文提出的判据具有更低的保守性.     

一类中立型时滞系统新的鲁棒稳定性准则

本文考虑了一类具有时变时滞和非线性扰动的中立型系统的鲁棒稳定性问题.基于Lyapunov稳定性理论和自由权矩阵方法,得到保证系统鲁棒渐近稳定的新的充分条件.所得结果同时依赖于离散时滞和中立时滞,并用LMIs表示.由于对Lyapunov泛函导数采用了无保守的估计,因此所得结果具有较小的保守性,能够给出时变时滞较大的允许时...     

具有随机通讯时延的远程网络控制系统基于观测器的H∞控制

本文主要针对一类具有随机通讯时延的由N个线性离散子系统构成的远程网络控制系统,设计基于观测器的鲁棒H∞控制器。假设状态变量不可测量且系统中数据通讯时延服从Bernoulli概率分布,通过利用Lyapounv稳定性理论和线性矩阵不等式技巧,得到使闭环系统均方指数稳定且满足指定H∞性能指标的充分条件,进而可以通过求解线性矩阵不等式得到基于观测器的控制器的相关增益矩阵。最后,通过MATLAB仿真结果验证该控制算法的有效性。     

切换区间系统的鲁棒指数稳定

研究一类连续切换区间系统的鲁棒指数稳定及其扰动衰减性能估计。利用平均驻留时间方法和线性矩阵不等式（LMIs）方法,得出了连续切换区间系统鲁棒指数稳定且满足扰动衰减度的充分条件。同时设计了系统的线性无记忆状态反馈控制器,所得结果均以LMIs的形式给出,求解方便。最后通过仿真实例验证了结果的有效性。     

Delta算子描述的时滞系统鲁棒D稳定容错控制

本章研究Delta算子描述的线性不确定时滞系统在圆形区域极点约束下的容错控制问题。基于Lyapunov-Krasovskii稳定性理论和线性矩阵不等式(LMI)方法,给出Delta算子系统在执行器失效和状态时滞情况下,确保系统鲁棒D稳定容错控制的两个充分条件;基于这一LMI的可行性解,得到状态反馈控制律的参数化表示。数值算例说明了该方法的有效性。     

变时滞Cohen-Grossberg随机神经网络的均方指数稳定性

本文利用随机积分的It（^o）公式,时滞微分不等式及随机时滞神经网络的特性讨论变时滞CohenGrossberg随机神经网络的均方指数稳定性.     

含脉冲的随机延迟细胞神经网络的均方指数稳定性与周期解

本文主要研究一类带离散延迟和脉冲的随机细胞神经网络(SDCNNswI)的均方指数稳定性和周期解的存在性。首先,用庞加莱收缩理论分析了SDCNNswI的周期解存在条件;其次,用李雅谱诺夫函数、随机分析理论和Young不等式推出了几个定理,给出了保证SDCNNswl的周期解具有均方指数稳定性的几个充分条件,其中只包含SDCNNswI的几个控制参数,通过简单的代数方法即可验证。最后,通过两个例子说明了所提出准则的有效性。     

随机时滞反应扩散神经网络的指数稳定性

本文是讨论了一类随机变时滞反应扩散Hopfield神经网络的矩指数稳定性。利用平均Lya- punov泛函方法,随机偏微分方程的Ito公式和时滞微分不等式技巧,证明了随机变时滞反应扩散Hopfield神经网络的平衡解的矩指数稳定性,给出了这类随机变时滞神经网络平衡解矩指数稳定性的实用代数判据,得到了一些新结果。最后,给出了主要定理的一个应用实例。     

Passive estimated state feedback fuzzy controller design for discrete perturbed fuzzy systems with multiplicative noises

This article presents an estimated state feedback fuzzy controller design method for uncertain passive discrete-time nonlinear stochastic systems with multiplicative noises. The nonlinear stochastic systems considered in this article are represented by Takagi–Sugeno (T–S) fuzzy models. For describing stochastic behaviors, stochastic differential equations are used to structure the stochastic T–S fuzzy model for representing nonlinear stochastic systems. Besides, the uncertainties of the controlled system are considered for dealing with molding errors and varying parameters. The concept of parallel distributed compensation is employed in this article to construct the estimated state feedback fuzzy controllers. Applying the Lyapunov and passivity theories, the sufficient stability conditions are derived in terms of linear matrix inequality. Finally, a numerical example is provided to show the effectiveness and applicability of the proposed fuzzy controller design approach.     

Improved robust exponential stability for Takagi–Sugeno fuzzy uncertain systems with time-varying delays

This paper concerns managing the robust exponential stability problem of uncertain Takagi–Sugeno fuzzy systems with time-varying delay by employing a further improved integral inequality matrix approach. Based on the linear matrix inequality (LMI) approach, delay-dependent robust exponential stability criteria have been developed. By taking the relationship among the time-varying delay, its upper bound and their difference into account, some less conservative LMI-based delay-dependent robust exponential stability criteria are obtained without ignoring any useful terms in the derivative of Lyapunov–Krasovskii functionals. Maximum allowable upper bound for time-varying delays is determined. Numerical examples are provided to show that the obtained results significantly improve the allowed upper bounds of delay size over some methods existing in the literature.     

Genetic robust controller design for uncertain systems with time‐delays in both state and control input via LMI approach

Abstract

In this paper, the robust control for uncertain delay systems in state and control input is considered. The uncertainty is nonlinear time‐varying perturbations and does not require a matching condition but is norm‐bounded. Based on the constructive use of Lyapunov functional, delay‐dependent stabilizability criteria are proposed to guarantee stability for the systems via linear control. Linear matrix inequality (LMI) and Genetic algorithms are used to design a memoryless state‐feedback controller. Two numerical examples are given to illustrate that the proposed results are less conservative than some others.     

Application of genetic algorithm to the observer‐based controller design for neutral systems

Abstract

In this paper, the dynamic observer‐based controller design for a class of neutral systems with known and uncertain time delays is considered. Delay‐dependent and delay‐independent stabilizability criteria are proposed to guarantee the stability for the feedback control systems. Linear matrix inequality (LMI) and genetic algorithm (GA) are used to design the observer‐based control. Design procedure for the observer‐based control is provided. A numerical example is given to illustrate our results.     

Asymptotic Lyapunov stability with probability one of Duffing oscillator subject to time-delayed feedback control and bounded noise excitation

The asymptotic Lyapunov stability with probability one of a Duffing system with time-delayed feedback control under bounded noise parametric excitation is studied. First, the time-delayed feedback control force is expressed approximately in terms of the system state variables without time delay. Then, the averaged Itô stochastic differential equations for the system are derived by using the stochastic averaging method and the expression for the Lyapunov exponent of the linearized averaged Itô equations is derived. It is inferred that the Lyapunov exponent so obtained is the first approximation of the largest Lyapunov exponent of the original system, and the asymptotic Lyapunov stability with probability one of the original system can be determined approximately by using the Lyapunov exponent. Finally, the effects of time delay in feedback control on the Lyapunov exponent and the stability of the system are analyzed. The theoretical results are well verified through digital simulation.