【摘要】 巡航控制系统是一个复杂的变参数非线性系统,因此很难获得其精确数学模型。基于精确数学模型控制的现代控制论和古典控制论很难解决这一问题,本文利用模糊神经网络在不能获得精确数学模型的非线形系统中能够达到最优控制的特性,建立了车辆巡航模糊神经网络控制模型,并对其离线训练后应用于AMT车辆巡航控制,取得满意效果。更多还原

【Abstract】 The auto cruise system is complex with non-linear property, so it is difficult to solve its problem by precise mathematical model. This paper takes advantage of the fuzzy-neural-network’s superiority in the non-linear system control to creat a vehicle cruise fuzzy-neural model and apply it to vehicle, which is proved to be effective by test.更多还原