两个伽玛分布的同质性检验

对于两个伽玛分布,Γ(α_1,β_1)和Γ(α_2,β_2),讨论了统计假设:H_0:α_1=α_2,β_1=β_2H_1:α_1≠α_2或β_1≠β_2,基于Hellinger距离与参数的最大似然估计,建立了一个检验统计量.在一定的条件下证明了统计量渐近服从自由度为2的卡方分布.最后用随机模拟的方法研究了所建立的统计量的稳健性,并且与似然比检验统计量进行了比较.     

两张回归平面在有限矩形区域上的比较

一、引言考虑两条回归线E(z|X=x)=α_i+β′_ix,i=1,2,其中 α_i,β_i=(β_(i1),……,β_(ik))′是回归系数,x=(x_1,…,x_k)′是自变量.通常要检验这两条回归线的重合性,即是检验假设 H_0∶α_1+β′_1x=α_2+β′_2x,对于一切 x;H_1∶α_1+β′_1x(?)α_2+β′_2x,对至少一个 x 成立.这是统计中的一个典型问题.在许多试验中往往要考虑更为特殊的对立假设.经典的例子如在假定 β_1=β_2下,检验 α_1 与 α_2的差异是否显著;或在假定α_1=α_2下,检验 β_1与 β_2的差异是否显著.后者称为平行性检验.Zellner,Smith 和 Choi 对这类问题作了一些工作.     

利用配对数据进行参数假设检验的一个注记

<正> 1.引言 在通常的数理统计书籍中,对于两正态总体数学期望的检验问题,一般按两类情况进行讨论;即当ε～N(α_1,σ_1~2).η～N(α_2,σ_2~2).α_1.α_2.σ_1~2.σ_2~2都是未知参数,对于统计假设H_0:α_1=α_2,H_1:α_1≠α_2.若σ_1~2=σ_2~2=σ~2时,构造统计量     

一类基于忆阻器分数阶时滞神经网络的修正投影同步

基于忆阻器分数阶时滞神经网络的研究是一个热点问题.该文主要研究了基于忆阻器分数阶时滞混沌神经网络的修正投影同步.结合分数阶微分不等式,得到了实现主动-被动系统获得同步的充分条件.其研究结果更具有一般性.相应的数值模拟证实了方法的有效性.     

关于不定方程x~2-23y~2=1与y~2-Dz~2=25的公解

设p_s(1≤s≤4)是互异的奇素数,D=2~tp_1~α_1p_2~a_2p_3~a_3p_4~a_4(a_i=0或1,1≤i≤4,t∈Z~+)时,不定方程x~2-23y~2=1与y~2-Dz~2=25仅当D=2~t×1151(t=1,3,5,7,9)时有正整数解.     

一类解析几何问题(续)——“圆锥曲线上一定点引出两弦”的有关性质研究综述

3关于椭圆有关问题的综合处理问题设M(x_0,y_0)为椭圆b~2x~2+a~2y~2=a~2b~2上一定点,MA与MB为椭圆任意两弦,其倾斜角分别为α_1,α_2,试证(1)当tanα_1·tanα_2=t(常数),则直线AB过定点或有定向; (2)当tanα_1+tanα_2=t(常数),则直线AB过定     

一类非线性时滞混沌系统的自适应脉冲同步

针对一类非线性时滞混沌系统,提出了一种新的自适应脉冲同步方案.首先基于Lyapunov稳定性理论、自适应控制理论及脉冲控制理论设计了自适应控制器、脉冲控制器及参数自适应律,然后利用推广的Barbalat引理,理论证明响应系统与驱动系统全局渐近同步,并给出了相应的充分条件.方案利用参数逼近Lipschitz常数,从而取消了Lipschitz常数已知的假设.两个数值仿真例子表明本方法的有效性.     

分枝设计中方差分量的最佳无偏不变二次估计

考虑三级分枝设计,其数据结构为: y_(αβγ)=μ ε_α ε_(αβ) ε_(αβγ),α=1,2,…,n_1;β=1,2,…,n_2;γ=1,2,…,n_3;N=n_1n_2n_3。其中第一级误差ε_α、第二级误差ε_(αβ)和第三级误差ε_(αβγ)的均值都为0,方差分别为σ_1~2,σ_2~2,σ_3~2,峰度分别为γ_1,γ_2,γ_3,且这些误差相互独立.     

Galton-Watson过程收敛速率的一个充要条件

假设{Z_n}_(n=0)~∞为一Galton-Watson过程,Asmussen[1]给出了在EZ_1(logZ_1)~(α+1)∞条件下W-W_n=o(n~(-α)),a.s.的结果,这是一个充分条件.本文给出lim sup_(n→∞)n~α|W-W_n|∞,a.s.的充要条件.     

不妨“分拆”二面角

<正>二面角的求解方法非常丰富,本文再介绍一法.已知二面角α-l-β,γ是过棱l的一个半平面.如图1,当γ在α-l-β的内部时,α-l-β被"分拆"为两个二面角α-l-γ与β-l-γ,记α-l-β,α-l-γ,β-l-γ的大小依次为θ,θ_1,θ_2(下同),则θ=θ_1+θ_2;如图2,当γ在α-l-β的外部时,α-l-γ被"分拆"为两个二面角α-l-β与β-l-γ,且θ=θ_1-θ_2.     

Intermittent impulsive projective synchronization in time‐varying delayed dynamical network with variable structures

This paper studies the projective synchronization behavior in a drive‐response dynamical network with coupling time‐varying delay via intermittent impulsive control. Different from the most publications on drive‐response dynamical networks under the general impulsive control, here the impulsive effects can only exist at control windows, not during the whole time. Moreover, intermittent impulsive control does not need the limitation of the upper bound of the impulsive intervals. By utilizing the Lyapunov‐Razumikhin technique, some sufficient conditions for the projective synchronization are derived. Numerical simulations are provided to verify the correctness and effectiveness of the proposed method and results. © 2016 Wiley Periodicals, Inc. Complexity 21: 547–556, 2016     

Projective and lag synchronization of a novel hyperchaotic system via impulsive control

Recently, Yang, Zhang, and Chen (2009) have proposed a novel hyperchaotic system. This paper studies the projective and lag synchronization of this novel hyperchaotic system using an impulsive control technique. Some sufficient conditions of projective and lag synchronization of such new system are derived from strict mathematical theories. Numerical examples are worked through for illustrating the main results.     

Adaptive‐impulsive function projective synchronization for a class of time‐delay chaotic systems

This article investigates the function projective synchronization (FPS) for a class of time‐delay chaotic system via nonlinear adaptive‐impulsive control. To achieve the FPS, suitable nonlinear continuous and impulsive controllers are designed based on adaptive control theory and impulsive control theory. Using the generalized Babarlat's lemma, a general condition is given to ensure the FPS. Here, the time‐delay chaotic system is assumed to satisfy the Lipschitz condition while the Lipschitz constants are estimated by augmented adaptation equations. Numerical simulation results are also presented to verify the effectiveness of the proposed synchronization scheme. © 2014 Wiley Periodicals, Inc. Complexity 21: 333–341, 2015     

Projective synchronization between different fractional‐order hyperchaotic systems with uncertain parameters using proposed modified adaptive projective synchronization technique

In the present article, the authors have proposed a modified projective adaptive synchronization technique for fractional‐order chaotic systems. The adaptive projective synchronization controller and identification parameters law are developed on the basis of Lyapunov direct stability theory. The proposed method is successfully applied for the projective synchronization between fractional‐order hyperchaotic Lü system as drive system and fractional‐order hyperchaotic Lorenz chaotic system as response system. A comparison between the effects on synchronization time due to the presence of fractional‐order time derivatives for modified projective synchronization method and proposed modified adaptive projective synchronization technique is the key feature of the present article. Numerical simulation results, which are carried out using Adams–Boshforth–Moulton method show that the proposed technique is effective, convenient and also faster for projective synchronization of fractional‐order nonlinear dynamical systems. Copyright © 2013 John Wiley & Sons, Ltd.     

Function vector synchronization based on fuzzy control for uncertain chaotic systems with dead‐zone nonlinearities

In this article, a fuzzy adaptive control scheme is designed to achieve a function vector synchronization behavior between two identical or different chaotic (or hyperchaotic) systems in the presence of unknown dynamic disturbances and input nonlinearities (dead‐zone and sector nonlinearities). This proposed synchronization scheme can be considered as a generalization of many existing projective synchronization schemes (namely the function projective synchronization, the modified projective synchronization, generalized projective synchronization, and so forth) in the sense that the master and slave outputs are assumed to be some general function vectors. To practically deal with the input nonlinearities, the adaptive fuzzy control system is designed in a variable‐structure framework. The fuzzy systems are used to appropriately approximate the uncertain nonlinear functions. A Lyapunov approach is used to prove the boundedness of all signals of the closed‐loop control system as well as the exponential convergence of the corresponding synchronization errors to an adjustable region. The synchronization between two identical systems (chaotic satellite systems) and two different systems (chaotic Chen and Lü systems) are taken as two illustrative examples to show the effectiveness of the proposed method. © 2015 Wiley Periodicals, Inc. Complexity 21: 234–249, 2016     

Projective lag synchronization in chaotic systems

In this paper, a new projective lag synchronization is proposed, where a driven chaotic system synchronizes the past state of the driver up to a scaling factor α. An active control method is employed to design a controller to achieve the global synchronization of two identical chaotic systems. Based on Lyapunov stability theorem, a sufficient condition is then given for the asymptotical stability of the null solution of an error dynamics. The effectiveness of the proposed schemes is verified via numerical simulations.     

Impulsive synchronization of time-varying dynamical network

Synchronization of time-varying dynamical network is investigated via impulsive control. Based on the Lyapunov function method and stability theory of impulsive differential equation, a synchronization criterion with respect to the system parameters and the impulsive gains and intervals is analytically derived. Further, an adaptive strategy is introduced for designing unified impulsive controllers, with a corresponding synchronization criterion derived. In this proposed adaptive control scheme, the impulsive instants adjust themselves to the needed values as time goes on, and an algorithm for determining the impulsive instants is provided and evaluated. The derived theoretical results are illustrated to be effective by several numerical examples.     

Control and adaptive modified function projective synchronization of Liu chaotic dynamical system

In this work, the feedback control method is proposed to control the behaviour of Liu chaotic dynamical system. The controlled system is stable under some conditions on the parameters of the system determined by Routh-Hurwitz criterion. This paper also presents the adaptive modified function projective synchronization (AMFPS) between two identical Liu chaotic dynamical systems. Based on the Lyapunov stability theorem, adaptive control laws are designed to achieving the AMFPS. Finally, some numerical simulations are obtained to validate the proposed methods.     

On impulsive control for synchronization and its application to the nuclear spin generator system

The issue of impulsive control theory for the synchronization of the nuclear spin generator (NSG) chaotic systems is developed. We propose an impulsive control scheme for the complete synchronization of the NSG system including chaotic systems. A sufficient condition for the impulsive control is derived, with an easily calculated maximum impulsive interval. The proposed impulsive control scheme is applied to the NSG system and the simulation result demonstrates the effectiveness of the method.     

Modified projective synchronization of chaotic systems with disturbances via active sliding mode control

We apply the active sliding mode control technique to realize the modified projective synchronization of the chaotic systems. The disturbances are considered both in the drive system and the response system. The sufficient conditions for the modified projective synchronization both the non-identical and identical chaotic systems are presented. The corresponding numerical simulations are provided to illuminate the effectiveness of the proposed active sliding mode controllers.