研究了非线性随机时滞系统的镇定问题。
A class of stochastic time-delay nonlinear systems was studied.
研究一类不确定随机时滞系统的时滞相关鲁棒镇定问题。
The problem of delay-dependent robust stabilization is investigated for uncertain stochastic systems with time delay.
同时，考虑到在实际应用中脉冲现象是不可避免的，所以研究脉冲随机时滞系统具有重大的理论意义和实用价值。
At the same time, the phenomenon of impulsive is an unavoidable in practical application, so the study of impulsive stochastic system with delay has important theories meaning and practical value.
针对一类严格反馈随机时滞非线性系统，提出了一种状态反馈镇定方案。
A state feedback stabilization scheme is proposed for a class of strict-feedback stochastic time-delay nonlinear systems.
采用频域的零点配置方法，通过在系统极点附近配置多个滤波器零点设计强鲁棒性的多峰极不灵敏（E I）最优随机时滞滤波器。
Zero placement method in the frequency domain is utilized to design robust multi-hump EI optimal arbitrary time-delay filter (OATF) by placing two or more filter zeros nearby the system poles.
在随机时滞大系统的系统分析中，系统的渐近行为分析和控制是工程设计的主要目标。故而，研究时滞随机大系统是很有必要的。
Since the analysis and control of asymptotic behavior is main objective to the design project, it is necessity to study the stochastic large-scale system with delay.
考虑到随机因素及时滞对神经网络系统的稳定性的影响，这使得研究随机时滞神经网络的稳定性具有深远意义。
The impact of stochastic factor and delay on stability of the neural network is significant to investigate the stability of stochastic neural network with delay.
首先对具有随机时滞的网络控制系统模型进行简化，导出了具有不确定系数的时滞离散时间系统模型。
Firstly, the networked control system model with random time-delay is simplified and transformed into a discrete-time system model with uncertain parameters.
首先对具有随机时滞的网络控制系统模型进行简化，导出了具有不确定系数的时滞离散时间系统模型。
Firstly, the networked control system model with random time-delay is simplified and transformed into a discrete-time system model with uncertain parameters.
应用推荐