Performance Enhancement of Multiple Model Adaptive Control by Using Neural Networks

摘要：

Multiple linear and BP NN (Back propagation neural network) models are used to approximate the complex nonlinear system, and different model reference adaptive controllers based on these models and different switching mechanisms are applied to a nonlinear system to trace a reference trajectory. From the simulation, it can be shown that the multiple model adaptive control method proposed in this paper can improve the control performance greatly compared with conventional adaptive neural network controller.

关键词： neural network multiple model adaptive control

作者: Xiaoli Li Yan Zhang Xiaolong Qian

作者单位: Department of Automation, Information and Engineering School University of Science and Technology Be College of Information of Science and Engineering Northeastern University Sheng Yang, 110004,P.R.Chi

会议类型: 国际会议

会议名称: 2007 IEEE International Conference on Automation and Lofistics

会议地点: 山东济南

会议语种:英文

在线出版日期: 2007-08-18（万方平台首次上网日期，不代表论文的发表时间）