State Estimation using Extended Kalman Filter and Unscented Kalman Filter

In any linear system the Kalman Filter is highly used to tracking and estimation. Extended Kalman Filter is deal nonlinear system better than Kalman Filter. But the framework of Extended Kalman Filter is not easy to draw they requires some highly numerical terms in nature. So, there using a new method called Unscented Kalman Filter to provide an easy task to user with use of sigma focus points. Nonlinear approach is used to estimate the state of the System.

[1]  K. Srinivasan,et al.  Non-linear State Estimation for Continuous Stirred Tank Reactor using Neural Network State Filter , 2006, 2006 Annual IEEE India Conference.

[2]  Rudolph van der Merwe,et al.  The unscented Kalman filter for nonlinear estimation , 2000, Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No.00EX373).

[3]  Jang Gyu Lee,et al.  Adaptive Two-Stage Extended Kalman Filter for a Fault-Tolerant INS-GPS Loosely Coupled System , 2009, IEEE Transactions on Aerospace and Electronic Systems.

[4]  H. Salarieh,et al.  On the general Kalman filter for discrete time stochastic fractional systems , 2013 .

[5]  P. Caines,et al.  Optimal adaptive LQG control for systems with finite state process parameters , 1985, The 23rd IEEE Conference on Decision and Control.

[6]  Tim Hesterberg,et al.  Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control , 2004, Technometrics.

[7]  Bjarne A. Foss,et al.  Applying the unscented Kalman filter for nonlinear state estimation , 2008 .

[8]  James C. Spall,et al.  Introduction to Stochastic Search and Optimization. Estimation, Simulation, and Control (Spall, J.C. , 2007 .

[9]  Mohinder S Grewal,et al.  Applications of Kalman Filtering in Aerospace 1960 to the Present [Historical Perspectives] , 2010, IEEE Control Systems.

[10]  Josep M. Guerrero,et al.  Introduction to the Special Section on Industrial Applications and Implementation Issues of the Kalman Filter , 2012, IEEE Trans. Ind. Electron..

[11]  J. L. Roux An Introduction to the Kalman Filter , 2003 .

[12]  Chien-Shu Hsieh,et al.  Optimal multistage Kalman estimators , 2000, IEEE Trans. Autom. Control..

[13]  Jeffrey K. Uhlmann,et al.  New extension of the Kalman filter to nonlinear systems , 1997, Defense, Security, and Sensing.

[14]  A. Jazwinski Limited memory optimal filtering , 1968 .

[15]  T. Başar,et al.  A New Approach to Linear Filtering and Prediction Problems , 2001 .

[16]  Josep M. Guerrero,et al.  Industrial Applications of the Kalman Filter: A Review , 2013, IEEE Transactions on Industrial Electronics.

[17]  Zheng Chen,et al.  State of Charge Estimation of Lithium-Ion Batteries in Electric Drive Vehicles Using Extended Kalman Filtering , 2013, IEEE Transactions on Vehicular Technology.

[18]  Niels Kjølstad Poulsen,et al.  New developments in state estimation for nonlinear systems , 2000, Autom..

[19]  Dan Simon,et al.  Training fuzzy systems with the extended Kalman filter , 2002, Fuzzy Sets Syst..