Second, the rate of error convergence may be guaranteed rapidly by setting appropriate angular position, velocity and acceleration feedback gain Matrices;
二是可以适当的选择位置、速度和加速度反馈增益矩阵，从而加快误差收敛速度；
Compared with the computed torque method, the algorithm can give error convergence bound clearly without acceleration measurement and inverse inertia matrix.
与传统计算力矩法相比，在不要求加速度测量和惯性矩阵求逆的情况下，算法给出清晰的跟踪误差收敛域。
The whole system stability and tracking error convergence are proved by Lyapunov stability theory which yields a novel neural network weight tuning algorithm.
整个系统的全局稳定性和跟随误差的收敛性采用李雅普·诺夫稳定性理论进行了证明，并得到了一种新颖的神经网络权值调整算法。
We proved the closed systems global asymptotical stable, not needing the error upper bound and the error square integral, all the signals are bounded and the tracing error convergence.
在不要求最优逼近误差平方可积和上界已知的条件下，证明闭环系统全局渐近稳定，所有信号有界且跟踪误差收敛到零。
At the same time dynamic model bank is applied to establish models bank without the prior system information. The closed-loop system stability and track error convergence asymptotically are proved.
应用动态模型库技术来建立多模型，并证明该算法能够保证闭环系统的稳定性和跟踪误差的渐近收敛性。
Verified by simulation results reliable accuracy of calculated results can not be guaranteed for small head change convergence index unless the error of water balance is small too.
模拟结果同时证实，除非水均衡误差也相当小，否则水头变化收敛指标较小时收敛的计算也不能保证计算结果有可靠的精度。
This algorithm improves convergence speed and reduces residual error by increasing small the quantity of computation.
该算法通过增加很少的计算量不仅提高了收敛速度而且获得更小的剩余误差。
Computer simulation shows that the improved algorithm has better convergence performance than the conventional algorithm. It can speed up convergence rate and decrease state residual error.
经计算机仿真表明，新算法与原算法相比，收敛性能有所改善，收敛速度加快，稳态剩余误差减小。
Based on building up a model of echo canceller, the convergence of gradient-type stochastic adjustment algorithm of an adaptive filter under the mean-squared error criterion is discussed.
在建立回波抵消器模型的基础上，按最小均方误差准则，导出了自适应滤波器抽头的统计梯度算法和抽头调节的收敛公式。
By means of analysing the global error bound, we prove that the method has a R-linear convergence rate.
借助于全局误差界的分析，证明了所提方法具有R -线性收敛速度。
In comparison with traditional LMS algorithm, WO-LMS algorithm can achieve both lower steady mean square error and faster convergence speed.
与传统的LMS算法相比，WO - LMS算法既提高了收敛速度又可以得到较低的稳态均方误差。
The simulation example shows that control law can guarantee fast convergence of error as well as robustness of parameter uncertainties and external disturbances.
仿真实例表明，该控制律能保证误差的快速收敛性及对参数不确定性和外部扰动的鲁棒性。
The theoretical analysis and the simulation results proved to show that the new algorithm has improved performance of the convergence speed and residual error than traditional CM algorithm.
理论分析和计算机仿真实验均表明，新算法与传统的恒模算法相比，具有更快的收敛速度和更小的稳态剩余误差。
Using the error bounds, we give a condition for convergence of the sequence of iterates generated by projected gradient methods.
最后，通过这些误差界，我们给出了由投影梯度方法产生的迭代序列收敛的条件。
Usually, excess mean square error (MSE) and convergence speed are two criterions used to evaluate performance.
剩余均方误差(MSE)和收敛速度是衡量均衡算法性能的两个常用标准。
In addition, the demanding technical specification is still indispensable factor, which accords with the special bandwidth demand of the grid drive pulse in measuring the convergence error.
此外，为符合会聚误差测量中栅极驱动脉冲特定带宽的要求，脉冲的高技术指标仍然是不可缺少的因数。
Simulation results show that the proposed algorithm has better performances with low complexity, fast convergence and small steady residual error than the same algorithm.
计算机仿真表明，该算法实现简单，收敛效果好，稳态剩余误差小，其性能优于已有的一些同类算法。
The convergence of error brought about by the curvature of earth's surface obviously has no counterpart in free space.
地球表面曲率产生的误差是收敛的，显然，在自由空间没有类似的情况。
The algorithm utilizes the correlation of output error signal to adjust the step size, solves the inconsistency problem of misadjustment and convergence time, and allows more flexibility in using.
该算法利用误差信号的相关值去调节步长，解决了算法收敛时间与稳态误差间的矛盾，为实际应用提供了更大的灵活性。
Computer simulations and theory analyses show that the proposed algorithm can speed up convergence rate and decrease state residual error compared with conventional CMA blind equalization algorithm.
经计算机仿真与理论分析表明，该算法与传统恒模算法相比，收敛速度加快，稳态剩余误差减小。
Furthermore, by using an error bound condition, we establish linear convergence of the proposed algorithm.
在误差界假设条件下，我们得到了改进算法的线性收敛速度。
In this paper, a new convergence theorem and error estimates for two types of generalized method are obtained by means of cubic major function, under the unified determination.
该文在统一判定条件下，借助于三次优函数，给出了两类一般迭代法的不同于以前的收敛性和误差估。
To overcome the slow convergence of the BP algorithm, recursive prediction error algorithm is proposed, which can train both the weight and the bias.
本文介绍了动态对角递归网络，并针对BP算法收敛慢的缺点，将递推预报误差学习算法应用到神经网络权值和域值的训练。
In this paper, a method is presented for solving non differentiable equations in Banach space. At the same time, we analysis its convergence and get error estimates.
本文提出了一种解非线性不可微方程的迭代方法，分析了其收敛性并给出了误差估计，取得了很好的效果。
A periodic mixed adaptive law and an adaptive repetitive learning control one are constructed to ensure the asymptotic convergence of the tracking error in the sense of square error norm.
通过引入参数周期自适应律，设计出的自适应控制策略，使跟踪误差平方在一个周期上的积分范数渐近收敛于零。
It obtains low average mean squared error (MSE), fast convergence velocity and decreases the noise sensitivity at the same time.
该方法计算简单、均方误差小、收敛速度快，并且降低了算法对噪声的敏感性。
The DSCMA-based multipath underwater acoustic channel blind equalizer has many features such as fast convergence, low excess mean square error and low computational complexity, etc.
而基于双层符号常数模的多径水声信道盲均衡器，具有收敛速度快，超量均方误差和计算复杂度小等特点。
Owing to the complicated variable rule of CMMs geometry error, it's difficult to convergence for using common BP neural network model arithmetic with a slow velocity.
由于坐标测量机几何误差变化规律复杂，采用一般的BP神经网络模型算法，速度慢且难以收敛。
This paper introduces the method with examples to explain it, including its connective knowledge, theory bases, error estimation, convergence order, and the choosing rule for starting value of it.
牛顿迭代法也称为牛顿切线法，是解非线性方程的一种方法，通过实例对该方法进行了介绍，包括其理论依据、误差估计、收敛阶数、迭代法初始值的选取规则等。
Then we give the convergence and error estimates for two types of generalized iterations by means of cubic majorizing function in chapter four.
第四章也利用三次优函数得到了两类一般迭代法的收敛性和误差估计。
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