| 1. | In order to improve the control performance of the closed - loop system , the adaptive compensation term of the approximation error is introduced
为改善控制系统的性能，引入逼近误差的自适应补偿项。 |
| 2. | The computer simulation shows its advanteges of fast convergence and high approximation accuracy over the back propagation ( bp ) network and fuzzy neural networks
通过计算机模拟与bp网络和模糊神经网络进行了比较，发现收敛速度非常快，逼近误差很小。 |
| 3. | So a compensator is constructed , which is compensates the approximation error ' s effect on system output at the condition of the approximation error thought as disturbance of the system
所以利用系统跟踪误差构造线性最优补偿器，该补偿器用于减少逼近误差对系统跟踪误差的影响。 |
| 4. | It is proved that the investment decision - making process which is described by general backward stochastic differential equations ( bsdes ) can be approached by discrete investment
摘要证明了一般的倒向随机微分方程所描述的投资决策过程可用离散的投资决策过程进行逼近，并给出了逼近误差的估计。 |
| 5. | Since the fuzzy descriptions are imprecise and may be insufficient to achieve the desired accuracy , it is necessary to design a compensator to removing the influence of the approximation error
但是由于模糊系统本身的缺陷，逼近误差在一定条件下有可能较大，不能忽视，而且这种逼近误差必然会影响系统的跟踪误差。 |
| 6. | If the geometric hermite data is from a smooth function with the arc - length parametric , the cubic ph approximates the smooth function , the error in the approximation of a short segment of length h is found
如果此三次ph曲线插值于以弧长为参数的某一函数曲线，则可以给出三次ph曲线逼近该一小段曲线的逼近误差。 |
| 7. | It consists of an indirect adaptive fuzzy controller , which is constructed by modeling the unknown part of system , and adaptive law given by using lyapunov synthesis approach
该方法利用模糊逻辑系统来逼近未知非线性部分。在把逼近误差看作系统干扰的情况下，给出了模糊系统参数基于lyapunov稳定的基础上的自适应律。 |
| 8. | The equivalence between the mamdani type fuzzy systems using trapezoid or gauss membership functions and the piecewise interpolation functions is demonstrated . and the estimation of the approximation error is given
对mamdani系统，分析了隶属函数分别采用梯形和高斯型时一维模糊系统与函数插值的等价性和逼近误差。 |
| 9. | In this paper , we first reconstruct a second order polynomial surface to approximate the original point model in the local area of each point , which is then restricted within a so - called - confidence region , producing a - surfel
摘要在每个点附近重建一个二次多项式函数曲面逼近原点模型，并根据逼近误差将每个重建曲面限制在称为置信邻域的范围内，从而形成一个面元。 |
| 10. | It is shown that the proposed scheme guarantees the stability of the closed - loop system and achieves tracking performance idex , meanwhile the influences of external disturbance , neural network approximation error and the cross - coupling of input to output on the tracking error are reduced to a prescribed level
该方法不仅保证了闭环系统的稳定，而且使外部干扰、神经网络逼近误差及输入对输出的交叉耦合对跟踪误差的影响衰减到给定的水平。 |
