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- stochastic system simulation 随机系统仿真
- Groundwater system is an intricate and stochastic system. 摘要地下水系统是一个复杂的随机系统。
- Electric Power System Simulation Lab. 仿真检验实验室。
- System simulation model is constructed with Matlab/Simulink. 应用Matlab/Simulink建立了系统仿真模型。
- The problem of dual control is studied for the stochastic system of which the uncertainty model is polytopic. 摘要针对不确定性模型为多胞型的随机系统进行了对偶控制的研究。
- Stochastic systems with an example of Kalman filter, including the simulation of the interface. 随机系统与卡尔曼滤波的一个例子,包括仿真的界面和数据。
- The similarity theory lays the theoretic foundation for system simulation. 相似论为系统仿真奠定了理论基础。
- A simplified on-line multivariable stochastic system state model parameters estimation algorithm is developed. 本文提出了一种简化的多变量随机系统状态模型参数在线辨识方法。
- The kernel function can be unit hydrograph of deterministic system or time series model of stochastic system. 通常核心函数可为定率系统之单位历线或序率系统之时间序列模式。
- In the paper the common characteristic and connection of determiuistic system,stochastic system and fuzzy system are discussed and analysed. 本文研究和分析了确定性系统、随机系统和模糊系统的共同性质以及它们之间的联系,抽出这些系统的共同特性,给出了模糊随机系统的一般性定义,并且导出各种系统。
- Personalization recommendation system simulation and conclusion analysis. 强化了个性化推荐系统仿真及结论分析。
- A new method on order reduction for diserete time stochastic system is presented in this paper,viz:order reduction with state covariance and pole ring bounds. 提出离散随机系统模型简化的一种新方法,即环形区域极点/协方差约束下的模型简化方法。
- QI Guo-yuan,CHEN Zeng-qiang,XUE Wei,et al.A new differential state estimator and controller for nonlinear stochastic system[J].ACTA Electronica Cinica,2004,32(4):693-696. [3]齐国元;陈增强;薛薇;等.;一类新型非线性随机系统微分状态估计器和控制器[J]
- The approaches can be used to model Markovian and non-Markovian stochastic systems. 该方法既可用于建模马尔科夫随机系统,也可用于建模非马尔科夫随机系统。
- We implement the tool for system modeling and system simulation in YH-PBDE environment. 在研究基于CTG模型的SoC系统建模与仿真方法的基础上,实现了YH-PBDE环境中的系统建模与仿真工具。
- Let the User Interface Program calls the System Simulation Model via the Engine functions of Matlab. 利用Matlab提供的engine函数,让Visual C++编制的用户界面程序调用Matlab编制的系统仿真模型。
- 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.
- As substitute for radar system simulation model, it will increase the efficiency of simulation experiment. 在攻防对抗仿真中用它代替雷达系统仿真模型,可以大大提高仿真实验的效率。
- Flexible manufacturing systems (FMS) and computer/communication networks exemplify complex systems that fall into a class called discrete event stochastic systems (DESS). 柔性制造系统和计算机通信网络是一个复杂的系统,也就是所谓的离散事件随机系统的很好的例证。
- Some promising control problems which can be solved with LMI technique were presented such as the robust controller design for some time delay systems and stochastic systems. 最后,对LMI技术作了展望,如用于时滞系统、随机系统的分析和综合问题的研究等。