1) random delay
随机时滞
1.
For both cases with random delays and data-packets lost,linear matrix inequalities(LMIs) are solved,and the observer and controller are designed which enable the networked control systems to be asymptotically stable.
考虑系统同时存在随机时滞和数据包丢失的情况,通过求解线性矩阵不等式,设计出了保证网络化控制系统渐近稳定的观测器以及控制器。
2) stochastic time-delay compensation
随机时滞补偿
1.
Output feedback control for networked control system with stochastic time-delay compensation;
输出反馈网络控制系统的随机时滞补偿
3) time-delay stochastic systems
时滞随机系统
1.
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。
4) stochastic time-delay averaging
时滞随机平均
5) Stochastic Delay Systems
随机时滞系统
1.
Aiming at stochastic delay systems with polytopic uncertainty and disturbance can be abstracted as one-dimensional Brownian motion,The paper deduce sufficient conditions of the existence of H∞ filter,and express them into a form of the linear matrix inequality(LMI),then utilize schur complement lemma transformed them into LMIs which can be solved.
针对具有凸多面体不确定性且扰动可抽象为一维布朗运动的随机时滞系统,利用李雅普诺夫稳定性理论推导出使随机不确定时滞系统渐近稳定且鲁棒L1/H∞滤波器存在的充分条件,将其表达成线性矩阵不等式(组)的形式,再利用Schur补引理对其进行转化,完成鲁棒H∞滤波器的设计,通过标准的数值软件进行求解。
6) neutral stochastic distributed time-delay system
中立随机分布时滞系统
1.
In this paper,the sufficient condition of stochastic robust stabilization of a class of uncertain neutral stochastic distributed time-delay systems is proposed by means of the stochastic Lyapunov stability theory and the It differential rule,and the sufficient condition of the robust H∞ controller is presented.
针对一类不确定中立随机分布时滞系统,利用随机Lyapunov稳定性理论和It微分法则,推导出系统的随机鲁棒可镇定的充分条件,并进一步给出了鲁棒H∞控制器存在的充分条件。
补充资料：随机数和伪随机数
随机数和伪随机数
random and pseudo-randan numbers
随机数和伪随机数【喇间佣1 al川牌”山一喇闭..m.山娜;cJI了，a如曰e”nce，口oc月卿成.以叹“c月a】 数亡。(特别，二进制数:。)，其顺序出现，满足某种统计正则性(见概率论(probability Uleory)).人们是这样区别随机数(mndomn切mbe比)和伪随机数(PSeudo一mn由mn切mbe岛)的，前者由随机的装置来生成，而后者是用算术算法构造的.总是假设(出于较好或较差的理由)所得(或所构造)的序列具有频率性质，这些性质对于具有分布函数F(z)的某随机变量心独立实现的一个序列来说是“典型的”;因此人们称作根据规律F(习分布的(独立的)随机数.最经常使用的例子为:在区间【O，l]上均匀分布的随机数亡。，尸(亡。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条