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In order to study the stability of longitudinal following control system of vehicle in automated highway system,the following errors of vehicles were analyzed,a mathematic model of infinite-dimensional nonlinear interconnected large-scale system with delays was constructed,and the stability of the system was studied by applying vector Liapunov function .

为了提高自动化高速公路车辆纵向跟随控制系统的稳定性,建立了关于车辆跟随误差的具有时间滞后的无限维非线性关联大系统模型,应用向量李雅普诺夫函数对大系统的稳定性进行了分析。

The properties of these models are obtained by studing the decreased dimension models by Liapunov function, matrix theory, monotone dynamics theory, Krasnoselskii technique and so on.

通过研究低维系统,我们就可以得到原系统的性态。在对模型的分析中,运用了构造Liapunov函数法、矩阵理论、单调动力系统理论、Krasnoselskii方法等。

Furthermore, when the system is a periodic system, sufficient conditions are obtained that guarantee the existence, uniqueness and global attractivity of the positive periodic solution by applying the Brouwer fixed theorem and the method of constructing Liapunov function.

利用比较原理给出了系统一致持久性的充分条件;当系统是周期系统时,应用Brouwer不动点原理和构造Liapunov函数的方法给出其存在惟一且全局吸引的ω-周期正解的充分条件,并通过实例验证了文中定理条件的可实现性。

Optical transfer function of the linear optical system can be obtained by Fourier transform of linear scattering function.

线性光学系统的光学传递函数可由线扩散函数的傅里叶变换求出。

Another reason is that the degree of linear independence of the variable basis functions composed by sigmoid functions decreases as the hidden nodes increasing, and this lead up to the inferior matrix condition number during learning, which forces the learning step length to decrease and the convergence speed to slow down.

一是因为未知系统复杂时需要较多的隐节点,从而学习的参数过多减慢了学习速度;另一个原因是随着隐节点数增加,由Sigmoid函数构造的可变基函数线性无关程度减弱,从而导致学习过程中矩阵条件数变差,迫使学习步长减小,收敛速度不得不减慢。

The main aim of this thesis is to study the properties of the maps for Heisenberg group target, which include Lipschitz and Holder continuity, L~#,H~(n , W~(1,p)#,H~(n , BMO and John-Nirenberg estimates, embedded theorems, Poincare inequalities and reverse Poincare inequalities, the regul-arities about the minimizers.

本文的主要目的是系统研究靶流形为Heisenberg群的函数及其空间的性质,其中包括Lipschitz及Hlder连续性、空间L~p及W~(1,p)的性质、空间BMO的性质及其上的John-Nirenberg估计、嵌入定理、Poincare不等式和逆Poincare不等式、能量极小映射的存在性、正则性及用调和函数逼近能量极小映射等问题。

Based on the analysis of some aspects, such as the approximative algorithm of FOC, the Tustin transform theory and its generating function formula's character, the convergence guarantee of binomial power function by Maclaurin expanding, and the consideration of the limitation of conventional methods, an improved method is proposed to compute the numerical evalution of FOC using PSE and Tustin transform and is further applied to solving the linear FOS.

以分数阶算子近似方法的分析研究为基础,基于Tustin变换理论及其用于分数阶算子的离散生成函数公式特点,利用二项式幂函数的Maclaurin展开能够保证收敛的特性,考虑常用算法的局限性,提出了一种改进的基于幂级数展开和Tustin变换的分数阶运算方法,并应用于线性分数阶系统的求解,给出了递推算法的详细推导。

The stability of system and transmission function of the DC amplifier using a magnetic modulator is mainly discussed in this paper, and the compensation method and conditions of the stableness of the system are given.

分析了磁调制式直流放大器的传递函数,对系统的稳定性进行了讨论,给出了系统稳定应满足的条件,并介绍了保证系统稳定的补偿方法。

Mathieu function is the base of field theory analysis in elliptical cylinder coordinate system. So, firstly, detail investigation has been given about the problem of numerical analysis of Matheiu functions, based on the predecessor's contribution, an improved faster algorithm of numerical analysis and confirmation algorithm of Matheiu functions has been presented.

Mathieu函数是椭圆柱坐标系统下场论分析的基础,因此本文首先对Mathieu函数的数值计算问题进行了详细研究,并在前人基础上完善并进一步改进了目前被认为较为可行的数值算法,并提出了验证算法。

In this paper, the theory, algorithm, and experiment of automatic object detection and tracking are studied in depth. It is firstly pointed out that the essential of Mean Shift method is a special Newton-Gaussian method. A new method named Fast Mean Shift is established to stretch the conservative step of Mean Shift method. The convergence and validity of this new method are proved in theory. And it is also proved that the convergence speed of Fast Mean Shift is faster than that of Mean Shift. The contrast experiments of searching the maximum possibility density of random of data sets in plane and 3D space are done. The results show that this new method can reduce the iterations greatly. A new object tracking method based on Fast Mean Shift is built to improve the object tracking performance, which is shown in the face tracking experiment with the tennis sequence provided by the Ohio State University, and the car tracking experiment with the car sequence provided by Kalsruhe University. The face trcking experiment with highly noised images show that the object tracking method based on Fast Mean Shift has strong anti-jamming ability. A new fast color object detection technology based on characteristic color is established, which use characteristic color distribution to compute the characteristic color vector of any area in an image quickly. With the high performance search method, the fast object detection is achieved. At last, using object tracker based on Fast Mean Shift and color object detector based on characteristic color with the Kalman filter, PID controller, searial communication and other technologies, automatic object detection and tracking system with control system is built. The availability and anti-jamming ability of this system are verified by some object detection and tracking tests in different scenes.

本文对目标自动识别与跟踪进行了理论、计算、试验三方面的深入研究,主要包括:首次指出了目标跟踪技术中常用的均值迁移方法的本质为一种特殊的高斯-牛顿方法,改进了均值迁移方法步长取值保守的弱点,建立了快速均值迁移方法,证明了该方法的收敛性、有效性以及收敛速度优于均值迁移方法;进行了平面和3维随机分布数据集的最大概率密度搜索对比试验,试验结果表明,快速均值迁移方法大大减少了迭代次数;建立了基于快速均值迁移的目标跟踪方法,利用俄亥俄州立大学提供的乒乓球序列图像和卡斯鲁厄大学的汽车序列图像,对人脸和汽车目标跟踪性能分别进行了对比试验,并进行了高噪声人脸图像目标跟踪试验,结果表明,基于快速均值迁移的目标跟踪方法有效提高了目标跟踪性能,具有很强的抗干扰能力;建立了一种新型彩色目标自动识别方法,采用特征色彩分布函数实现了对任意图像区域特征色彩矢量的快速计算,建立了高效的搜索方法,实现了彩色目标的快速识别;将基于快速均值迁移方法的目标跟踪方法、基于特征色彩的目标识别方法与卡尔曼滤波、PID控制、串行通讯等技术结合,建立了带有控制系统的快速目标自动识别与跟踪系统,并在不同场景下进行了目标自动识别与跟踪试验,验证了快速目标自动识别与跟踪系统的有效性和抗干扰能力。

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And Pharaoh spoke to Joseph, saying, Your father and your brothers have come to you.

47:5 法老对约瑟说,你父亲和你弟兄们到你这里来了。

Additionally, the approximate flattening of surface strip using lines linking midpoints on perpendicular lines between geodesic curves and the unconditional extreme value method are discussed.

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Hey Big Raven, The individual lies dont matter anymore - its ALL a tissue of lies in support of...

嘿大乌鸦,个别谎言的事不要再-其所有的组织的谎言,在支持。