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First, we present various new convergence concepts for sequence of fuzzy random variables, including convergence sure, convergence almost sure, uniform convergence, uniform convergence almost sure, almost uniform convergence, convergence in chance measure, and their corresponding weak convergence. Second, the relations among some types of convergence are studied. Finally, we design some algorithms about fuzzy random simulations to compute the mean chance of fuzzy random event, find the optimistic value of a return function, and evaluate the expected value of a fuzzy random variable.

首先,提出了几类模糊随机变量序列的收敛性概念,包括:必然收敛、几乎必然收敛、一致收敛、几乎必然一致收敛、近一致收敛、依机会测度收敛以及与以上概念相对应的弱收敛;其次,讨论了收敛性之间的关系;最后我们设计了模糊随机模拟算法,用于计算模糊随机事件的平均机会,寻找收益函数的乐观值,以及估计模糊随机变量的期望值。

First, we present various new convergence concepts for sequence of fuzzy random variables, including convergence sure, convergence almost sure, uniform convergence, uniform convergence almost sure, almost uniform convergence, convergence in chance measure, and their corresponding weak convergence.

首先,提出了几类模糊随机变量序列的收敛性概念,包括:必然收敛、几乎必然收敛、一致收敛、几乎必然一致收敛、近一致收敛、依机会测度收敛以及与以上概念相对应的弱收敛;其次,讨论了收敛性之间的关系;最后我们设计了模糊随机模拟算法,用于计算模糊随机事件的平均机会,寻找收益函数的乐观值,以及估计模糊随机变量的期望值。

The maximum principle of the optimal control for the stochastic systems described by Zakaj stochastic partial sifferential equationis proved by approximately minimum point theorem of E. Ekeland. The convexity and compactness of the set of control values is not assumed, and it is not necessary for the maximum principle about differentiability in control variables included in drift term of the stoch astic system and the integrand in index functional, and costate process satisfies the stochastic partial ...

在不假便定控制变量取值的集合是凸的和紧的,不要求随机系统的漂移项和指标泛函的被积函数关于控制变量具有可微性的情况下,用E,Ekeland的近似极小点定理证明了Zakai随机偏微分方程描述的随机系统的最优控制的最大值原理,和用很简洁的方法证明了协态过程满足一个随机偏微分方程。

In Chapter 4 we discuss the solvable theorem of adaptive inverse optimal control problems, and proceed with controller designs of global asymptotic stability in probability, adaptive inverse optimal stabilization in probability and output-feedback adaptive inverse optimal stabilization in probability for strict-feedback stochastic nonlinear continuous systems with additive standard Wiener noises and constant unknown parameters using It〓's differentiation rule and an adaptive backstepping algorithm. Control laws and adaptive laws can be obtained at one time by this design scheme. Many simulations have been performed to validate the properties of the proposed adaptive control scheme.

在第4章中,针对具有标准Wiener噪声扰动和未知定常参数的不确定随机非线性系统,提出并证明了自适应逆最优控制问题可解定理,构造了适当形式的四次型随机控制Lvapunov函数,基于It〓微分规则和自适应Backstepping算法,系统地设计了全局依概率渐近稳定控制器、自适应逆最优控制器、输出反馈逆最优控制器以及在设计中如何处理二阶Hessian矩阵函数的方法,这种方法可同时获得控制律和自适应律,通过实例仿真,表明该控制算法是有效性的。

A strong limit theorem on gambling strategy for Bernoulli sequences is extended to the sequences of arbitrary dependent random variables which take numberable values by using the conditional moment generating function .

利用条件矩母函数将关于Bernoulli序列赌博策略的一个强极限定理推广到取可列值的任意相依随机变量序列的情况,并且通过允许选择函数在一个区间中取值,推广了随机选择的概念。

The concepts of random regular function and random potential function are introduced.

引入随机正则函数和随机位势函数的概念。

The primitive polynomial of 3-12 pseudo-random sequence generator is obtained after the deductions. The better nonlinear feedback function of all states pseudo-random sequence generator can be picked out according to the characteristic of pseudo- random sequence signal, then using all states of shifting counter through modifying the linear shift register feedback network to realize the all states pseudo-random sequence signal.

经过推导可以得到3-12 bit伪随机序列发生器的本原多项式,再根据伪随机序列信号的特性选择出较好的全状态伪随机序列发生器的非线性反馈函数,即通过修改线性移位寄存器的反馈网络将移位型计数器的全部状态加以利用,实现全状态伪随机序列信号。

By producing pseudorandom number series, we rectify the power spectrums of normal random inputs in the same shape as power spectrums of simulating signals. Through Laplace transformation, we can acquire the frequency response functions of rectifier. Two simulating examples were presented. The power spectrum curves based on one peak function model were almost coincided with the power spectrum curves of simulating loads shown in the figures. Simulating results of input loads had good accuracy. Creating a simulating method and program of input load in this paper was effective.

本文利用随机过程仿真的一般理论在已知随机载荷的分布特性、均值、方差和功率谱函数以后,实现随机载荷的计算机仿真,即利用仿真技术得到符合已知载荷的分布特性和功率谱特性的随机载荷的时间序列。1 产生伪随机数序列及分布整形采用乘同余法产生伪随机数的递推公式为[2 ] :yi+1 =λyi ( 1 )式中M =2

As a result, the mass matrix, the stiffness matrix, the damping matrix and the excitation coefficient matrices of the dynamics differential equations are random parameter matrices. According to the minimum deviation rule of the mean squares between the random parameter system and the deterministic parameter system, the random mean square deviation vector function between the two systems has been set up and the deterministic parameter system has been solved.

应用Newton-Euler矢量法对挂接车辆系统建立了质量阵、刚度阵、阻尼阵和激励系数阵皆为随机参数阵的八自由度随机参数系统动力学微分方程,并按照随机参数系统与确定性参数系统之间的均方值偏差最小的原则,建立了两系统之间的随机均方偏差矢量函数,由此解出了相应的确定性参数系统

The approximate solution to FPK equation isobtained. The joint probability density function and stationary mean out-crossing rateare investigated for ship nonlinear rolling subjected to additive white noise excitation.Melnikov function and phase space flux are applied to analyze highly nonlinear rolland capsizing of ships in the random seas. The variation of phase space flux withrespect to the characteristic wave period, significant wave height and damping ofships is studied.

求FPK方程近似解,研究白噪声激励下船舶非线性横摇运动的联合概率密度函数及稳定期望穿阈率,应用Melnikov函数和相空间转移率研究船舶在随机波浪中的强非线性横摇运动及其倾覆问题,考虑波浪特征周期、有义波高及船舶阻尼特性的变化规律,推导了船舶在随机横浪中的极限波高的表达式。

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