In the Extended Kalman Filter (EKF), only the first-order term of the Taylor series is employed. Hence, the nonlinearities in the system dynamics are not fully considered. In the proposed method, to overcome this drawback, the higher-order terms...

Affine Radial Basis function Network (CARBFN) is developed for online identification of CANSs. A recursive algorithm based on Extended Kalman Filter (EKF) is used for training of CARBFN to develop an adaptive model for CANSs with unknown and uncertain...

This paper investigates fractional Kalman filters when time-delay is entered in the observation signal in the discrete-time stochastic fractional order state-space representation. After investigating the common fractional Kalman filter, we try...

This study presents a nonlinear observer design for noisy discrete Nonlinear Stochastic State-Space Systems using the Discrete Extended Kalman Filter to provide accurate Trajectory Tracking. This goes through using system’s Jacobian linearization...

This paper derives a nonlinear observer design problem for nonlinear Stochastic State-Space Systems using the Continuous Extended Kalman Filter for Accurate Trajectory Tracking, which uses a system’s Jacobian linearization along the current best...

In this paper, in order to increase the accuracy of interacting multiple model (IMM) algorithm in presence of low and medium maneuvers, a new IMM algorithm based on Augmented Kalman Filter (AUKF) has been proposed. The accuracy of the IMM algorithm...