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。 Cruise control system is a complex non-linear system of variable parameters, so it is difficult to obtain its exact mathematical model. Modern cybernetics and classical cybernetics based on precise math model control can hardly solve this problem. In this paper, we use the fuzzy neural network to achieve the optimal control in non-linear systems that can not obtain the accurate math model and establish the cruise fuzzy neural network Network control model, and its offline training applied to AMT vehicle cruise control, and achieved satisfactory results.