Application of Fuzzy Wavelet Neural Network to Adaptive Control of Nonlinear Systems

摘要：

In this paper an application of fuzzy wavelet neural network (FWNN) to control problem of nonlinear systems is investigated.FWNN is applied to approximate unknown dynamic of system.Each fuzzy rule corresponds to one sub-wavelet neural network (subWNN) and one adaptation parameter.Each sub-WNN consists of wavelets with a specified dilation value.Learning of FWNN is performed by two algorithms,extended Kalman filter and recursive least square estimator.Then based on Lyapunov synthesis an on-line adaptive tuning algorithm is designed to adjust the adaptation parameters in the consequent part of fuzzy rules.Proposed scheme can approximate feedback linearization control input so that the closed loop system be stable and achieve a good tracking performance with proper transient response.The capability of the proposed method is illustrated through one numerical example.

关键词： fuzzy wavelet neural network adaptive fuzzy control nonlinear systems

作者: Maryam Shahriari-Kahkeshi Maryam Zekri Farid Sheikholeslam

作者单位: Dep.of Electrical Engineering,Isfahan University of Technology Isfahan,Iran

会议类型: 国际会议

会议名称: 2010 4th International Conference on Intelligent Information Techonlogy Application(第四届智能信息技术应用国际学术研讨会 IITA 2010)

会议地点: 秦皇岛

会议语种:英文

页码: 52-55

在线出版日期: 2010-11-05（万方平台首次上网日期，不代表论文的发表时间）