MULTIPLE MODELS SWITCHING METHOD BASED ON SUGENO FUZZY INFERENCE

摘要：

The switching process of multi-models is apt to arouse the dither at the moment of switching.In order to smooth the transition process, a control models switching method based on Surgeon fuzzy inference is proposed.By comparing the performances of SVC controller with Nonlinear Norm Transformation PID (NNTPID) and normal PID, it shows that this method can reduce the dither effectively and smooth the switching transient process.

关键词： Multi-models Nonlinear transform PID Surgeon fuzzy inference

作者: NIANG TANG YI-HUI SUN ZHONG CHEN

作者单位: Changsha University of Science & Technology, Changsha 410076, China

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: 1283-1287

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）