A method of optimizing the dynamic model bank that is based on online learning is proposed in this paper.
提出一种通过在线学习优化动态模型库的方法。
The problems discussed include the system structure, the design of controller bank, model bank and algorithm.
所讨论的问题包括系统结构、控制器库、模型库和控制算法设计。
Fuzzy diagnosis need standard pulse model bank beforehand, while fuzzy cluster analysis is classified by feature without participation of any model.
模糊模式识别预先需要有标准脉象模型库，而模糊聚类分析事先没有任何模型参与，全按事物的特征分类。
In FCDS. a model picked from the model bank is taken as the foundation for generating a contour surface, which makes the further design of the surface have some warranties in hydrodynamics.
FCDS以性能优良的库模型作为外形曲面生成的基础，使曲面的进一步设计有了一定的流体性能上的保证。
At the same time dynamic model bank is applied to establish models bank without the prior system information. The closed-loop system stability and track error convergence asymptotically are proved.
应用动态模型库技术来建立多模型，并证明该算法能够保证闭环系统的稳定性和跟踪误差的渐近收敛性。
Using the method can quicken the speed of building solid model bank and has actual significance to build complicated scene fleetly.
运用此方法可加快三维模型库的建立，对于复杂场景的快速搭建有实际意义。
Using the method can quicken the speed of building solid model bank and has actual significance to build complicated scene fleetly.
运用此方法可加快三维模型库的建立，对于复杂场景的快速搭建有实际意义。
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