针对焦炉集气管压力这类多变量非线性系统 ,提出了一种基于 PID神经网络和 RBF模糊神经网络的多变量解耦控制方案 ,RBF模糊神经网络对多变量对象进行解耦 ,PID神经网络控制器控制过程的动态特性 .工程应用表明 ,提出的控制策略有效地解决了集气管压力这类复杂对象的过程控制问题 For multivariable nonlinear systems such as coke oven manifold pressure, a multivariable decoupling control scheme based on PID neural network and RBF fuzzy neural network is proposed. RBF fuzzy neural network decouples multivariable objects, and PID neural network The dynamic characteristics of the control process of the controller.The engineering application shows that the proposed control strategy effectively solves the process control problems of complex objects such as the manifold pressure