Lyapunov-泛函,Lyapunov-functional英语短句,例句大全

Lyapunov-泛函,Lyapunov-functional
1)Lyapunov-functionalLyapunov-泛函
2)Lyapunov-Krasovskii functionalLyapunov-Krasovskii泛函
1.By adopting Lyapunov-Krasovskii functional and dissi-pative theory,sufficient conditions are given to ensure the existence of a memoryless state feedback control law,which guarantees the stability of the closed-loop system.采用Lyapunov-Krasovskii泛函和耗散性理论,给出了保证闭环系统渐近稳定的无记忆状态反馈控制律存在的充分条件,该条件同时保证闭环系统满足γ-次优H∞性能,为控制器的设计提供了理论依据。
2.Applying a stabilizing state feedback control to systemsm,aking use of the Lyapunov-Krasovskii functional and combining the method of the linear matrix inequalities(LMI)t,he sufficient conditions of robust BIBO stabilization for T-S fuzzy control systems are obtained.研究了一类具有不确定系数的T-S模糊控制系统的鲁棒BIBO镇定问题,应用稳定的状态反馈控制,通过构造Lyapunov-Krasovskii泛函,采用线性矩阵不等式(LMI)方法,给出了T-S模糊连续控制系统Robust有界输入有界输出镇定的充分条件;当参考的输入信号r(t)≡0时,给出了T-S模糊连续控制系统的零解鲁棒镇定的充分条件。
3.Constructing a suitable Lyapunov-Krasovskii functional and based on the scheme of decentralized control,the design of a control law is proposed to ensure the global asymptotic synchronization of state trajectories of two chaotic neural networks of which the structure are the same and the initial conditions are different.基于分散控制策略,通过构造适当的Lyapunov-Krasovskii泛函,给出了保证两个具有相同结构但初始条件不相同的时滞混沌神经网络全局渐近同步的控制律设计方法。
3)Lyapunov functionLyapunov泛函
1.In this paper,by making use of the Lyapunov functional method and combining with the technique of inequality analysis,we discuss the global asympototic stability of a class of cellular neural networks.利用Lyapunov泛函方法和不等式技巧,研究了一类细胞神经网络的全局渐近稳定性,通过引入一系列参数,给出了保证时滞细胞神经网络全局渐近稳定的模型设计方法。
2.By making use of the Lyapunov functional method,the measuring of Hopfield neural networks with delay is discussed.利用Lyapunov泛函方法,研究了具有时滞的Hopfield神经网络稳定性的测试问题,得到了网络全局渐近稳定性与滞量无关的测试方法,这对于时滞神经网络的设计与检验具有普遍应用的意义。
3.By Lyapunov functional method,the asymptotic property of the solutions for the Cauchy problem is obtained.研究了在高维空间下多孔介质方程初值问题解的渐近行为,利用Lyapunov泛函方法得到了该问题解在L1(RN)里的渐近性质。

英文短句/例句

1.Delay-dependent Robust H_∞ Control of Uncertain Systems with Time-Delay Based on Augmented Lyapunov Functional基于增广Lyapunov泛函的不确定时滞系统的时滞相关鲁棒H_∞控制
2.Variational Lyapunov Method and Stability Theory for Impulsive Functional Differential Systems;变分Lyapunov方法与脉冲泛函微分系统的稳定性理论
3.Constructing of Lyapunov function for general Lurie indirect control systems;一般Lurie间接控制系统的LYAPUNOV函数构造
4.Strict Lyapunov Functions for Nonlinear Discrete-Time Systems非线性离散系统的严格Lyapunov函数
5.Common lyapunov functions for switched linear systems关于线性切换系统的共同Lyapunov函数
6.The construction of control Lyapunov functions for linear multivariable systems线性多变量系统的控制Lyapunov函数构造
7.The Variational Lyapunov Function Method and the Stability Theory of Impulsive Hybrid Systems;变分Lyapunov函数方法与脉冲混合系统的稳定性理论
8.Multi-Objective Optimal Theory and Its Application via Paramater-Dependent Lyapunov Function;基于参数依赖Lyapunov函数的多目标优化理论及应用
9.Studies on Linear Time-varying System of the Structure of Lyapunov’s Function;特殊线性时变系统的lyapunov函数的构造研究
10.Variational Lyapunov Method and Stability of Impulsive Switched Systems with Time Delay变分Lyapunov函数方法与脉冲时滞切换系统的稳定性
11.Robust H_∞ control of fuzzy system via fuzzy Lyapunov-krasovskii function基于模糊Lyapunov-Krasovskii函数的模糊系统的鲁棒H_∞控制
12.functional form of linear function线性函数的泛函形式
13.Real Variable Function & Functional Analysis实变函数与泛函分析
14.Synthesis and Engineering Application of Uncertain Dynamic Systems Based on Parameter-Dependent Lyapunov Function;基于参数依赖Lyapunov函数的不确定动态系统的综合及其工程应用
15.Construction of Lyapunov Function and Stability Analysis of a Class of Fourth-order Nonlinear System;一类四阶非线性系统的Lyapunov函数的构造与稳定性分析
16.Robust admissibility analysis of uncertain switched singular systems:a switched Lyapunov function approach不确定切换奇异系统的鲁棒容许性分析:切换Lyapunov函数方法(英文)
17.associated sequence of coefficient functional系数泛函的连带序列
18.hermitian bilinear functional埃尔米特双线性泛函

相关短句/例句

Lyapunov-Krasovskii functionalLyapunov-Krasovskii泛函
1.By adopting Lyapunov-Krasovskii functional and dissi-pative theory,sufficient conditions are given to ensure the existence of a memoryless state feedback control law,which guarantees the stability of the closed-loop system.采用Lyapunov-Krasovskii泛函和耗散性理论,给出了保证闭环系统渐近稳定的无记忆状态反馈控制律存在的充分条件,该条件同时保证闭环系统满足γ-次优H∞性能,为控制器的设计提供了理论依据。
2.Applying a stabilizing state feedback control to systemsm,aking use of the Lyapunov-Krasovskii functional and combining the method of the linear matrix inequalities(LMI)t,he sufficient conditions of robust BIBO stabilization for T-S fuzzy control systems are obtained.研究了一类具有不确定系数的T-S模糊控制系统的鲁棒BIBO镇定问题,应用稳定的状态反馈控制,通过构造Lyapunov-Krasovskii泛函,采用线性矩阵不等式(LMI)方法,给出了T-S模糊连续控制系统Robust有界输入有界输出镇定的充分条件;当参考的输入信号r(t)≡0时,给出了T-S模糊连续控制系统的零解鲁棒镇定的充分条件。
3.Constructing a suitable Lyapunov-Krasovskii functional and based on the scheme of decentralized control,the design of a control law is proposed to ensure the global asymptotic synchronization of state trajectories of two chaotic neural networks of which the structure are the same and the initial conditions are different.基于分散控制策略,通过构造适当的Lyapunov-Krasovskii泛函,给出了保证两个具有相同结构但初始条件不相同的时滞混沌神经网络全局渐近同步的控制律设计方法。
3)Lyapunov functionLyapunov泛函
1.In this paper,by making use of the Lyapunov functional method and combining with the technique of inequality analysis,we discuss the global asympototic stability of a class of cellular neural networks.利用Lyapunov泛函方法和不等式技巧,研究了一类细胞神经网络的全局渐近稳定性,通过引入一系列参数,给出了保证时滞细胞神经网络全局渐近稳定的模型设计方法。
2.By making use of the Lyapunov functional method,the measuring of Hopfield neural networks with delay is discussed.利用Lyapunov泛函方法,研究了具有时滞的Hopfield神经网络稳定性的测试问题,得到了网络全局渐近稳定性与滞量无关的测试方法,这对于时滞神经网络的设计与检验具有普遍应用的意义。
3.By Lyapunov functional method,the asymptotic property of the solutions for the Cauchy problem is obtained.研究了在高维空间下多孔介质方程初值问题解的渐近行为,利用Lyapunov泛函方法得到了该问题解在L1(RN)里的渐近性质。
4)Lyapunov-KrasovskiiLyapunov-kresovskii泛函
1.By constructing appropriate Lyapunov-Krasovskii functions (LKF) and solving linear matrix inequality(LMI), the state observer making the observer error asymptotically convergence to zero was constructed.通过构造适当的Lyapunov-kresovskii泛函(LKF)和求解线性矩阵不等式(LMI),给出了使得误差动态系统渐近趋于零的非线性时滞系统的状态观测器。
5)Lyapunov functionalLyapunov泛函
1.Based on Lyapunov functional method,a sufficient criterion for stability and quadratic performance of the systems,which is dependent on the size of the time-delay and the size of its derivative,is derived and it is shown that this condition is equivalent to the solvability of a set certain linear matrix inequalities(LMIs).基于Lyapunov泛函方法,导出该系统的稳定性和性能指标与时滞及其导数有关的充分条件,该条件等价于线性矩阵不等式(LMI)系统的可解性问题,进而用这组线性矩阵不等式系统的可行解,给出了使此类系统鲁棒渐近稳定且满足性能指标的状态反馈控制器设计方法。
2.Some stability criteria in terms of matrix inequalities(LMIs) are obtained based on Lyapunov functional method,which is only to solve LIMIs for verifying the stability conditions.利用Lyapunov泛函方法建立了基于线性矩阵不等式的绝对稳定性条件,因而将稳定性条件的检验转化为数学软件Matlab线性矩阵不等式的求解问题。
3.By using differential formula and Lyapunov functional,a new delay-independent sufficient condition for exponential stability is derived.研究了均方意义下的具有时变时滞与分布时滞的随机Cohen-Grossberg神经网络的指数稳定性,利用It微分公式和Lyapunov泛函,得到了一个关于其指数稳定时滞无关的充分条件。
6)Lyapunov-Krasoviskii functionalsLyapunov-Krasoviskii泛函