APPLICATION OF NEURAL NETWORK IN CONTROL PROBLEM

摘要：

This talk introduces several kinds of neural-network-based adaptive control systems.These control systems combine the advantages of neural network identification, adaptive control and robust control techniques.These neural networks include recurrent neural network (RNN), recurrent fuzzy neural network (RFNN), cerebellar model articulation controller (CMAC) and recurrent cerebellar model articulation controller (RCMAC).Moreover, their applications in control problems are demonstrated to illustrate the effectives of these control systems.

关键词： Adaptive control Robust control RNN RFNN CMAC RCMAC

作者: CHIH-MIN LIN

作者单位: Departmant of Electrical Engineering Yuan Ze University, Chung-Li Tao Yuan, 320, Taiwan

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 3465-3471

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）