The optimization of fuzzy stochastic systems is studied in this paper.
本文研究了模糊随机系统的模糊随机优化问题。
This paper discusses a typical problem of stochastic systems: dual adaptive control.
本文主要研究了随机系统中比较典型的一个问题：双态自适应控制。
A modified strong tracking Kalman filter (MSTKF) for linear stochastic systems is proposed.
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)。
The exponential models with additive noise describe a class of important nonlinear stochastic systems.
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。
Asymptotic stability of the solution to a class of stochastic systems with variable delay is discussed.
讨论了一类随机可变时滞系统解的渐近稳定性。
The problem of delay-dependent robust stabilization is investigated for uncertain stochastic systems with time delay.
研究一类不确定随机时滞系统的时滞相关鲁棒镇定问题。
This paper presents new developments of parameter identification for MIMO discrete stochastic systems with random parameters.
本文讨论MIMO离散系统的随机时变参数基于随机逼近法的辨识问题。
Stability results for large stochastic systems with Markovian jumping parameters are obtained by using a two level control law.
利用二个水平的控制律，得到了具有马尔可夫跳跃参数的大型随机系统的稳定性的一些结果。
The problem of the robust guaranteed cost control for time-delay stochastic systems with Markov switching parameters is discussed.
研究了马尔可夫跳变参数时滞随机系统的鲁棒保性能控制问题。
An LMI design method for mean square stabilization of a class of nonlinear stochastic systems based on the T-S fuzzy model is proposed.
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。
Dual adaptive control is a control method for stochastic systems that currently causes great attention of the international control society.
从态向适应控制问题是日前国际控制界广泛重视的一个随机系统控制问题。
LMI design method for mean square stabilization of a class of nonlinear stochastic systems with time-delay based on the T-S fuzzy model is introduced.
提出了一类基于T - S模糊模型的非线性时滞随机系统均方镇定的LMI通用设计方法。
In the Linear stochastic systems with uncertainties, designing a satisfactory State-estimation is of practical significance in the field of engineering.
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。
As the control problems of the stochastic systems with distributed parameters are more difficult, these systems have not been studied still in a deepgoing way by now.
由于分布参数随机系统控制问题比较复杂，目前，这类系统还没有被深入研究。
This paper considers a linear optimal estimation problem for a stochastic process viewed as the output signal of the time delay stochastic systems driven by a white noise input.
本文研究在白噪声输入情况下，时滞系统随机输出信号的线性滤波估计问题。
This paper discusses the synthetical control designing problem for discrete linear stochastic systems with generalized inverse theory and the singular value decomposition theory.
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。
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.
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。
Some relations between the deterministic and the Stochastic systems discussed with reference to the Optimal control. Meanwhile, some applications and its recent approach are also related to.
讨论了确定性系统和随机性系统之间关于最优控制的关系，还提到了一些应用和它目前的发展趋向。
This paper presents new developments of parameter identification for MIMO discrete stochastic systems with random parameters. These algorithms are based on the stochastic approximation method.
本文讨论MIMO离散系统的随机时变参数基于随机逼近法的辨识问题。
The problem of satisfactory PID control for a class of stochastic systems with constraints on dynamic error coefficient, steady-state output variance and relative stability margin is considered.
研究一类随机系统具有期望的动态误差系数、稳态输出方差和相对稳定裕度约束的满意PID控制问题。
Since natural systems have evolved not only to cope with noise but to exploit it, as neurons do with stochastic resonance, could it be that nature has also learned to compute with noise?
既然自然系统进化出了不光能应对，还能利用噪音的系统，比如神经元利用随机共振，有没有可能自然也发现了使用噪音进行计算的发放？
The scientists are referring to Monte Carlo simulations, a statistical technique used to model probabilistic (or "stochastic") systems and establish the odds for a variety of outcomes.
科学家们指的是MonteCarlo模拟法，它是一种用于建立概率(或者说“随机”)系统模型，并计算出某些结果出现概率的统计方法。
The design of stochastic optimal controllers of networked control systems with output feedback is also presented.
讨论了网络控制系统在输出反馈情况下随机最优控制器的设计；
Robust adaptive tracking problems for a class of stochastic nonlinear systems were investigated.
研究了一类随机非线性系统的鲁棒自适应跟踪问题。
The case of stochastic multi-step systems is also discussed.
对多级多段随机控制系统也进行了讨论。
Many nonlinear equations, describing either conservative or dissipative systems, show stochastic behaviour in suitable range of parameter values.
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。
The SISO indirect stochastic adaptive control algorithm presented in this paper is suitable to control systems with large delay.
本文提出的单变量随机间接自适应控制算法适于控制大滞后的系统。
The stochastic behavior of real-world systems is often difficult to understand or predict.
人们常常难以理解或预知实际系统的随机行为。
The stochastic behavior of real-world systems is often difficult to understand or predict.
人们常常难以理解或预知实际系统的随机行为。
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