State Estimation of Nonlinear System based on T-S Fuzzy Model
Yongfeng Zhang · Communications technology · 2010
State estimation methods for nonlinear systems mainly includes extended Kalman filter,unscented Kalman filter,particle filtering.Howerer,for highly nonlinear systems,if a model based on fuzzy rules is used to approximate it,and rule-based theories to seek the state estimates,the estimation performance would be much better.A numerical simulation with the proposed method is given in this paper.