在研究像倒立摆这类多变量非线性强耦合系统的模糊控制时,一个巨大的困难就是模糊控制规则爆炸(Rule Explosion),比如对二级倒立摆的控制,涉及的状态变量总共有6个,每个变量的论域如果作三个模糊划分(这样划分还是相当少的,通常做七个模糊...
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But fuzzy control also have the low control accuracy, rule explosion and other issues, variable universe fuzzy control algorithm solves these problems to a certain extent.
然而模糊控制也存在控制精度不高、“规则爆炸”等问题,变论域模糊控制算法的提出在一定程度上解决了上述问题。
参考来源 - 变论域模糊控制算法研究·2,447,543篇论文数据,部分数据来源于NoteExpress
The problem of rule explosion in FNN controller is solved for multi-variable systems.
采用自适应神经模糊推理系统,对控制器的参数进行优化。
To solve the typical "fuzzy rule explosion" problem in designing the high dimensional fuzzy controller, ant colony algorithm is used to filter a designed complete fuzzy-rule base.
针对设计高维模糊控制器过程中会遇到的“规则爆炸”问题,利用蚁群算法进行控制规则的过滤简化。
The paper researched on the rule of impact response for double taper-column shell structure with stiffening ribs subjected to underwater explosion.
研究了加肋锥柱双层壳结构在水下爆炸作用下冲击响应的规律。
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