ID 原文 译文
13974 利用自构建小波神经网络的自适应和自学习的能力，提出一种基于自构建小波神经网络的内模控制方法来进行两栖武器随动系统研究。 By using the self-adaptation and self-learning ability of wavelet neural network an internal model control method based on self-built wavelet neural network is proposed for the amphibious weapon servo system．
13975 由小波基函数的激励强度和衰减程度来决定增加神经元节点或者修剪、删除神经元节点，达到优化隐含层结构的目的，然后采用 LM 算法来提高学习速率。 The excitation strength and attenuation degree of the wavelet basis function are used to add neuron nodes or to trim or delete neuron nodes to optimize the hidden layer structure and then the LM algorithm is used to improve the learning rate．
13976 通过自构建小波神经网络对内模控制系统的正、逆模型进行辨识，来改进控制技术。 The self-built wavelet neural network is used to identify the forward and inverse models of the internal model control system to improve the control technology．
13977 最后的实验仿真结果表明，该方法可以有效提高系统的抗干扰能力、发射精度以及调节的快速性。 The final results show that the method can effectively improve the system’s anti-jamming capability launching accuracy and adjustment speed．
13978 针对包含故障和干扰的非高斯随机分布系统，提出了一种基于迭代学习观测器( ILO) 的鲁棒容错控制方法。 For non-Gaussian stochastic distribution systems with faults and disturbances a novel robust fault-tolerant control scheme is proposed based on Iterative Learning Observer ( ILO) ．
13979 使用线性 B 样条神经网络建立了输出概率密度函数( PDF) 和动态权重之间的关系。 The linear B-spline neural network is used to establish the relationship between output Probability Density Function ( PDF) and dynamic weights．
13980 设计迭代学习观测器，以较小的计算量实现对故障的精确估计。 An iterative learning observer is designed to accurately estimate the faults with less computational load．
13981 利用故障估计信息设计容错控制器，使得系统的权向量在故障发生后仍能够跟踪到期望的权向量。 By using the fault estimation information a fault-tolerant controller is designed so that the system can still track the expected weight vector after the fault occurs．
13982 最后通过仿真分析说明了提出方法的有效性。 Simulation results demonstrate the effectiveness of the proposed approach．
13983 所设计的迭代学习观测器在经过短暂过渡后可迅速重构系统故障，基于 PI 跟踪的容错控制器对定常和时变权向量都有较好的跟踪效果。 The iterative learning observer can rapidly reconstruct the faults after a short transition period and the fault-tolerant controller based on PI tracking has good tracking effects on both the constant and time-varying weight vectors．