A fuzzy neural network based extended Kalman filter

Abstract

In this paper we construct a discrete extended Kalman filter by using fuzzy neural networks. The constructed filter makes it possible to estimate the states of a nonlinear dynamic system with unknown plant model. The unknown plant is identified by a fuzzy neural network that avoids the occurrence of divergence in state estimation. A computer simulation is presented to illustrate the performance and application of the proposed filter.