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A decentralized control law is proposed which combines the approximation method of neural network with sliding mode control.

针对一类具有未知界扰动和子系统部分已知的非线性大系统,结合神经网络逼近方法、滑模控制研究了一种新的分散鲁棒自适应控制方法。

This paper mainly involves the design of fuzzy control system based on the variable universe method and the design of adaptive fuzzy control system based on the universal approximation theorem of fuzzy system.

本论文主要涉及变论域模糊控制和基于模糊系统泛逼近理论的自适应模糊控制两个方面的内容。

Main foundation is the approximation theorem of completely continuous operators and the Guo-Krasnosel' skii fixed point theorem of cone expansion-compression type.

主要工具是全连续算子的逼近定理和锥拉伸与锥压缩型的Guo-Krasnosel' skii不动点定理。

Secondly, the approximation equivalent theorem for Bernstein-Kantorovich-Bezier operators have been studied by using of smooth modulus ω_φ_p in the space L_p(1 ≤ p≤∞).

二、利用光滑模ω_φ_p和与之相对应的K泛函研究了Bernstein-Kantorovich-Bézier算子于L_p(1≤p≤∞)空间中的逼近正、逆定理和等价定理。

According to the study of the stochastic approximation theory, a new optimization method of yield is given.

在对随机逼近理论进行研究的基础上,提出了一种新的合格率优化算法。

Design of the filter is essentially application of approximation theory.

滤波器的设计,实质上是数学逼近理论的应用。

The paper introduces the theoretical basis of the proximate best uniform approximation theory in detail,and applies it to the design of FIR digital filter.

介绍了近似最佳一致逼近原理的理论基础,并将它应用于FIR DF的设计。

On the other hand, with the development of digital image processing, interpolation and approximation have been widely used.

另外,随着数字图像处理技术的迅速发展,数值逼近在数字图像处理中也有了广泛的应用。

This paper presents that FCP network model and improved T-S model used in the disquisition are universal approximator, with the latter proved.

本文指出文中用到的FCP网络模型和改进T-S模型为通用逼近器,同时给出后者的证明。

Prove that this kind of fuzzy inference model is an universal approximator, and proposed one method identifying this fuzzy model from training data set.

提出了带概率因子的模糊推理模型,证明了该种模糊推理系统是一个通用逼近器,并给出了一种从训练数据集中辨识该模糊模型的方法。

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