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stable convergence相关的网络例句

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与 stable convergence 相关的网络例句 [注:此内容来源于网络,仅供参考]

Repetitive control technique principle and the repetitive controllers parameters design are discussed deeply in this paper, including the analysis of stable performance and convergence performance of the whole system.

本文重点阐述了重复控制技术原理以及重复控制器中各项参数的设计和改进方法,包括整个系统的稳定性分析和收敛性分析。

Simulation results show that RLS algorithm is of great convergence performance, stable SIR and accurate tracking, but high complexity.

主要工作可以概括如下:(1)对盲多用户检测的LMS算法、RLS算法的信干比、最小输出能量进行了分析、研究和仿真。

Simulation shows that joints movement convergence to stable limit cycles,planned walking pattern is realized,and feasibility of the proposed method is verified.

实验表明规划步态收敛于稳定的极限环,实现了高速动态步行,该规划方法是可行的。

On the basis of the Lyapunov stabilty theorem, the calculating method of the optimum coordinating gain on-line is put forward, which makes the algorithm stable and quick in convergence. Simulation results show that the method is effective.

根据Lyapunov稳定性定理,给出了MTS法稳定收敛的最优协调增益K的在线计算方法,大大加快了算法的收敛速度,以甲醇制甲醛生产优化控制为例,仿真结果表明,该方法是有效的。

We found that Efron and Thisted's estimates tend to be less stable and slow in convergence. On the other hand, the estimates of Jackknife, Bootstrap, and Chao are likely to be over-biased.

研究发现Efron and Thisted的模型的估计量容易呈现不稳定的震荡,可能会有无法收歛的问题;而Bootstrap、Jackknife与Chao(1992)则会有高估母体种类数的现象。

Experiment results show that this model could effectively combine the merits of B-spline and DP algorithm, yielding stable, accurate and faster convergence, and its result is favorable for surface reconstruction.

该模型结合了B样条方广东工业大学工学硕士学位论文法和动态规划法的优点,可以快速稳定地收敛到目标轮廓,得到的B样条轮廓有利于进一步的表面重建处理。

Based on the research of some recent algorithms work of the initial solution estimation of inverse simulation approach,an improved algorithm,named projecting and averaging linear deformation method,is presented,which enables the inverse approach more stable and improves its convergence greatly.

初始解的确定是板料冲压成形有限元反向分析中的一个重要环节,初始解的好坏会影响后续计算的收敛性以及分析计算的效率。

The simulation results show that the scheme is more stable in convergence, insensitive to threshold parameters, less on loss and advantageous to the new agent to join the network during emergence of virtual community.

实验表明,该方法具有评价结果稳定收敛,对门限参数敏感度低,虚拟社区形成过程中损失小,有利于新加入节点融入网络的优点。

At last, the application of above modeling and control strategies has been demonstrated by the simulations of a nonlinear dc motor control problem. Under this control strategy, system identification phase is not needed, and only a controller based on the recurrent neural network is provided. Because the control and learning laws are designed with stable theory, stability and convergence problems are solved here with rigorous analysis, which can not been analyzed easily when usual BP neural networks are used.

最后通过非线性电机模型的仿真研究,表明了基于上述动态动态递归神经网络模型对非线性系统进行自适应控制的实际可行性,并且采用这种方法不需要对系统进行离线辨识,整个系统只采用了一个基于动态递归神经网络的控制器,由于整个系统是基于稳定性理论设计的,有效地解决了应用BP网络等其它前向网络时系统的稳定性和收敛性难以分析的问题。

We study the attractive manifold method of the iterative learning control for a class of degenerate systems in the chapter Ⅲ. When the learning control systems don't satisfy the convergence condition, we present the learning control method satisfying the condition by constructing a stable and attractive manifold corresponding system. This method makes the system with better robustness.

第三章主要研究了一类退化系统目标跟踪的迭代学习控制的吸引流形方法,在系统不满足一般收敛条件的情况下,我们通过构造一个相应于所给系统稳定而吸引的流形,导出所满足要求的迭代学习控制,该方法对系统有较好的鲁棒性。

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