应用神经网络对未建模型的非线性随机系统进行控制。
Use Neural Network to control unfounded model nonlinear random system.
鉴于含有加性噪声的指数模型描述了一类重要的非线性随机系统。
The exponential models with additive noise describe a class of important nonlinear stochastic systems.
非线性随机系统的最优控制，采用基于性能势的随机优化数值算法。
The optimal control of nonlinear random system adopted random optimal numerical algorithm based on performance potential.
针对线性随机系统提出了一种改进强跟踪卡尔曼滤波器(MSTKF)。
A modified strong tracking Kalman filter (MSTKF) for linear stochastic systems is proposed.
利用广义逆理论和奇异值分解理论，研究离散型线性随机系统的综合控制设计问题。
This paper discusses the synthetical control designing problem for discrete linear stochastic systems with generalized inverse theory and the singular value decomposition theory.
提出一类基于T S模糊模型的非线性随机系统均方镇定的线性矩阵不等式(LMI)设计方法。
An LMI design method for mean square stabilization of a class of nonlinear stochastic systems based on the T-S fuzzy model is proposed.
结合随机激励下齿轮非线性系统的特点，研究了一种分析齿轮非线性随机系统的全局初值特性的方法。
Considering the characteristics of a nonlinear gear system with stochastic excitation, a method for analyzing the system's global initial characteristics was described.
在不同噪声环境下，对基于EKF、UKF和PF的非线性随机系统的故障诊断方法进行了比较研究。
In various noise environments, the comparative studies have been carried out on the fault detection and diagnosis for nonlinear stochastic systems with EKF, UKF and PF, respectively.
针对具有高斯噪声的非线性随机系统状态估计问题，提出了一种基于分段常值的贝叶斯状态估计滤波算法。
A filter algorithm of bayesian state estimation using piecewise constant was proposed for a nonlinear stochastic system with white noises.
本文分析了线性随机系统解过程的小波特征，得到若干性质，并分析了小波展开系统的统计特征及相关程度。
In this paper, the author study wavelet properties of solution processes of linear random system, and analyse their statistics properties and relation rate, the author obtain some new results.
世界是非线性的，线性只是其近似描述，混沌的发现表明：某些确定性非线性系统具有内在的随机行为。
The world is nonlinear, linearity is oly its approximate description. The discovery of chaos has showed that some deterministic nonlinear systems exhibit inner random behavior.
研究了一类随机非线性系统的鲁棒自适应跟踪问题。
Robust adaptive tracking problems for a class of stochastic nonlinear systems were investigated.
许多描述保守或耗散系统的非线性方程，在一定的参数范围内表现出内在的随机性。
Many nonlinear equations, describing either conservative or dissipative systems, show stochastic behaviour in suitable range of parameter values.
在随机线性不确定系统中，设计一个满意的状态估计器在工程中有很大的实际意义。
In the Linear stochastic systems with uncertainties, designing a satisfactory State-estimation is of practical significance in the field of engineering.
研究了广义离散随机线性系统的多传感器信息融合状态估计问题。
Multi-sensor information fusion state estimation problem for descriptor discrete-time stochastic linear systems is studied.
卡尔曼滤波用于线性离散随机系统具有非常好的收敛性和滤除高频噪声的能力。
Kalman filter used in linear discrete stochastic system has good convergence and the ability to remove high frequency noises.
利用连续线性系统的随机振动理论，研究非均匀地基土层地震的动力反应问题。
Using the stochastic vibration theory of continuous linear system, this paper studies the dynamic response problem of non-homogeneous soil foundation.
考虑了广义离散随机线性系统的多传感器信息融合状态估计问题。
The problem of multi-sensor information fusion state estimation for descriptor discrete-time stochastic linear systems is considered.
本文中讨论了一类具有不确定性的线性随机控制系统的均方指数稳定性问题。
In this paper, the robust exponential stability in mean square for a class of linear stochastic uncertain control systems is dealt with.
研究了耦合白噪声作用下的二阶过阻尼线性系统中的随机共振现象。
The phenomenon of stochastic resonance of an over-damped second-order linear system driven by coupled white noise is investigated.
本文讨论了平稳随机序列通过线性时不变系统后的纯预测问题。
The pure prediction problem of a stationary random sequence passing through a linear time-invariant system is discussed.
讨论广义离散随机线性系统在二次型性能指标下的最优控制问题。
The optimal control problem for the discrete time stochastic singular systems with linear quadratic cost functional is discussed.
本文讨论了广义离散随机线性系统的状态估计问题。
In this paper, the state estimation problem for the singular discrete stochastic linear systems is dia-cussed.
本文讨论了奇异线性定常连续随机系统最小阶滤波器的设计问题。
In this paper, formulas are derived for the minimal order filter in a singular, linear time-invariant, continuous and stochastic system.
针对时滞、阶数和系数皆未知的离散时间线性随机控制系统（ARMAX模型），提出一种对时滞、阶数和系数同时进行递推估计的算法。
This paper proposes a new recursive estimate algorithm for unknown time-delay, orders and coefficients of linear discrete-time stochastic control systems (ARMAX model).
本文研究了线性离散随机系统的模型降阶和最优输出反馈矩阵的设计问题。
In this paper, the problems of the model reduction and the design of optimal output feedback matrix are discussed for linear stochastic discrete-time system.
基于线性随机分布参数系统新的数学描述形式，给出了相应的均方稳定定义。
On the basis of the new mathematical description of the linear stochastic system with distributed parameter, the corresponding definition of mean-square stability is given.
混沌是确定系统的非线性动力系统中出现的随机现象。
Chaos is a random phenomenon in deterministic nonlinear dynamic systems.
基于射影理论及新息分析方法，讨论离散随机线性系统最优状态估计问题。
This paper deals with the optimal state estimation problem for the discrete stochastic system based on the innovation theory and projection method.
基于射影理论及新息分析方法，讨论离散随机线性系统最优状态估计问题。
This paper deals with the optimal state estimation problem for the discrete stochastic system based on the innovation theory and projection method.
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