本文还分析了具有非匹配不确定性因素的模型参考变结构控制系统的稳定性问题。
The stability of model reference variable structure system with mismatched uncertainties is also analyzed.
在导弹系统存在非匹配不确定性的情况下，提出了一种基于RBF神经网络和反演控制技术的神经网络自适应导弹控制系统的设计方法。
In this paper, a nonlinear adaptive control scheme for missile control system with mismatched uncertainties is proposed on the basis of RBF neural networks and inverse control technology.
本文指出自校正控制中广泛采用的CARMA模型会导致控制系统对确定性扰动和非平稳随机扰动缺乏鲁棒性；
The CARMA model generally assumed in self-tuning control frequently leads to the controlled systems lacking robustness to deterministic and non-stationary stochastic disturbances.
它除了保持WISARD的原有特点之外，在解决大维数或非确定性模式数据的识别问题以及控制系统成本方面有着明显的优势。
It has obvious advantages in large dimensional or non-deterministic pattern data recognition problems in addition to all merits of WISARD.
它除了保持WISARD的原有特点之外，在解决大维数或非确定性模式数据的识别问题以及控制系统成本方面有着明显的优势。
It has obvious advantages in large dimensional or non-deterministic pattern data recognition problems in addition to all merits of WISARD.
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