First , fuzzy logic control and neural network control are one of the main issues of the intelligent control . usually , designing fuzzy logic controller or artificial neural networks depends on the designer ' s knowledge or experience 首先,模糊控制和神经网络控制是智能控制研究的重要内容,常规的模糊控制器和人工神经网络设计方法主观性较强,容易影响控制器性能。
According to the effectiveness and efficiency of those control methods , fuzzy logic control strategy was proposed based on its advantages such as high efficiency 、 adaptability and robustness 根据不同控制方法的仿真控制效果和运行效率,分析了它们的优缺点,提出模糊控制方法具有适应性强、运行效率高、实时性好和鲁棒性强等优点,可作为并联混合动力汽车优先选择的控制策略。
At the same time attempting and groping for the combination of fuzzy logic control and neural network algorithm , putting forward the fuzzy neural network structure and control algorithm that is in series and validating it in practice 在模糊逻辑控制与神经网络计算相结合方面作了尝试和探索。提出了网络学习型的模糊神经网络控制器以及相应的学习算法,并在实践中进行了验证。
Proposition of some improved fuzzy control algorithms and exploration of their implementation in the abs based wheel slip control . ( 5 ) the study of asr , comprising control means , objective , logic on - off control , simple fuzzy logic control ( flc ) and vssmc 提出了模糊模型参考学习控制算法,该算法可在线、实时调整模糊控制器的知识基,使整个闭环控制系统的输出能跟踪参考模型的理想输出。
And the outcomes is are better effective . combining fuzzy logic control with pid control algorithm , this paper ana1yses the rule of fuzzy adaptive pid control , furthermore optimizes the rules of fuzzy longic control based on classification and 将模糊控制与pid算法相结合,提出了模糊自整定pid控制的控制规律,并应用模糊盒树法对模糊控制规则进行优化,从而得到一种控制规则简单,控制性能良好的控制方法。