【作者】 吕国芳； 王敏； 段向军；

【Author】 LV Guo-fang1, WANG Min1, DUAN Xiang-jun2 (1.College of Electrical Engineering, Hohai University, Nanjing 210098, China; 2 Department of Mechanical and Electrical Engineering, Nanjing College of Information Technology, Nanjing 210046, China)

【机构】 河海大学电气工程学院； 南京信息职业技术学院；

【摘要】 为了解决实际应用中非线性被控过程的预测控制问题,把神经网络、广义预测控制和极点配置技术融为一体,提出一个新型自适应神经网络广义预测极点配置加权控制器(GPPWC)。首先提出非线性被控过程的二阶自适应线性神经元(Adaline)网络模型,然后给出基于二阶Adaline网络的GPPWC。仿真结果表明该方案的有效性。更多还原

【Abstract】 For solving predictive control questions of nonlinear system in practical application, the neural network, generalized predictive control and pole assignment technology were integrated, and a new adaptive neural network predictive pole assignment weighted controller was proposed. An adaptive linear neural network model was proposed, and the generalized predictive pole assignment weighted controller based on second-order Adaline Neural Network was given. Simulation result indicates its validity.更多还原