NONLINEAR PREDICTIVE FUNCTIONAL CONTROL BASED ON HOPFIELD NETWORK AND ITS APPLICATION IN CSTR

摘要：

CSTR is a nonlinear chemical reactor widely used in chemical industry and can be simplified as an affine nonlinear system. Hopfield network is a neural network with rich dynamic characteristics. In this paper, affine nonlinear system is treated as black box, and is identified with Hopfield network.After obtaining the relative degree of the nonlinear system from the network, state feedback linearization method is used to transform CSTR to a one-order linear system. The state variables and Lie derivatives needed in the transform can be obtained from the Hopfield network. Finally, a PFC controller is designed to control the linear system. Simulations prove that the new method has good control performance.

关键词： Hopfield Network state feedback linearization predictive functional control continuous stirred tank reactor (CSTR)

作者: PENG GUO

作者单位: Department of Automation, North China Electric Power University, Beijing, 102206

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 3036-3039

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）