| 1. | Research on load rigidity adaptive model of electro - hydraulic servo fatigue testing machine
电液伺服疲劳试验机负载刚度自适应模型研究 |
| 2. | The theory basic of this paper is the induction of extracting exciting current and the induction of self - adaptive gain module
本文的理论基础是：相似电感提取励磁电流的推导，及变增益自适应模型的推导。 |
| 3. | In chapter 4 , a new data mining - based adaptive models generation ( amg ) is introduced . amg is a real - time architecture for implementing data mining - based intrusion detection system
第四章：介绍基于数据挖掘自适应模型生成( amg ) ， amg是提供了一个基于数据挖掘的实时入侵检测结构。 |
| 4. | By using nn analogue nature of roadbed mixture , we build a self - adapting mode considering various factors which analogue nature of roadbed under different conditions
利用神经网络模拟研究了路面基层混合料的性能，建立了一个考虑了各因素影响的自适应模型，能很好地模拟路面基层在不同条件下的性能。 |
| 5. | Lots of experiments are performed in this paper , the result of these experiments shows that the bl - ahmm model trained by ga - hmm model is effective and has better performance over the traditional hmm recognition method
文中通过大量的试验证明了采用ga - hmm训练的bl - ahmm自适应模型的有效性和其相对传统hmm识别模型的优越性。 |
| 6. | Two new algorithms , adaptive model and adaptive interacting multiple model , are presented in this paper with respect to the maneuvering trajectory characteristics of anti - ship cruisle missiles
针对比例制导的飞航式反舰导弹弹道的特点和机动特征，提出了跟踪此类目标的两种新算法? ?基于自适应模型的算法和基于自适应交互多模型的算法。 |
| 7. | A new scheme of adaptive fuzzy sliding model variable structure control for a class of uncertain nonlinear system is presented , which is by incorporating adaptive model tracking control and fuzzy control with reaching law
摘要针对一类非线性不确定系统，把自适应模型跟踪控制和模糊控制与趋近律相结合，提出一种新的自适应模糊滑模变结构控制方案。 |
| 8. | Secondly , overcoming drawback of single variable fitting ar models lacking of other variables acting on factor variable , a set of the trace formulas are given about the time - change coefficient matrixes of multivariable fitting ar models
2应用逐段线性化的方法推导出了多维ar （ r ）自适应模型时变系数矩阵的递推公式，克服了单变量ar （ r ）自适应模型没有考虑其他变元对因变元的作用的缺陷。 |
| 9. | Firstly , many fixed models are modeled at different operating points through mechanism analysis . an optimal model set based on the ideal of on - line learning is proposed , which included fixed models and adaptive models . when the operating point exceeds the initial modeling range , stability results are still obtained
首先，通过机理分析，在典型工况点下建立多个固定模型，基于在线学习器思想，给出了一种优化模型集的方法，采用固定模型加自适应模型组成新的优化模型集，在运行工况超出初始建模范围时，仍能保证系统的稳定性。 |
| 10. | The following conclusions have been drawn from this research program , : ( 1 ) the model following architecture allows for straightforward implementation of requirements of handling quality standard , and it can be utilized for helicopter handling quality design . ( 2 ) the adaptive model - inverse control theory can provide the referenced helicopter with consistent handling quality throughout its operating envelope , with requiring only an approximate linear model at a single operating point . ( 3 ) the technology of adaptive neural network model - inverse control can reduce costs and period associated with pcs development
通过该课题的研究，得到以下结论： ( 1 )参考模型跟踪结构能够直接实现飞行品质规范要求，可以用于直升机飞行品质设计； ( 2 )自适应模型逆控制方法只需一个基准状态下的近似线性模型，却可在整个使用包线内提供协调一致的飞行品质； ( 3 )自适应神经网络模型逆控制技术可节约成本，缩短飞控系统研制周期； ( 4 )在某些部件部分意外失效或战损情况下，自适应神经网络具有实现控制的在线快速重新配置、保持飞行品质的潜力； ( 5 )轨迹跟踪控制器可以用于任务科目基元仿真及飞行品质评估。 |
