TY - GEN
T1 - Experimental validation for nonlinear estimation and tracking using finite-horizon SDRE
AU - Khamis, Ahmed
AU - Naidu, D. Subbaram
PY - 2014/3/17
Y1 - 2014/3/17
N2 - In this paper, an effective online method used for finite-horizon, nonlinear, stochastic tracking problems, is presented. The method incorporates the finite-horizon State Dependent Riccati Equation (SDRE) with Kaiman filter to account for the stochastic environment thereby extending the application spectrum to nonlinear systems and overcoming the hurdle with linear tracking systems limited to small variations around the operating point. The method is illustrated by both computer simulation and experimental verification via hardware in the loop Simulation (HILS).
AB - In this paper, an effective online method used for finite-horizon, nonlinear, stochastic tracking problems, is presented. The method incorporates the finite-horizon State Dependent Riccati Equation (SDRE) with Kaiman filter to account for the stochastic environment thereby extending the application spectrum to nonlinear systems and overcoming the hurdle with linear tracking systems limited to small variations around the operating point. The method is illustrated by both computer simulation and experimental verification via hardware in the loop Simulation (HILS).
UR - http://www.scopus.com/inward/record.url?scp=84946692878&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946692878&partnerID=8YFLogxK
U2 - 10.1109/ICPCES.2014.7062800
DO - 10.1109/ICPCES.2014.7062800
M3 - Conference contribution
AN - SCOPUS:84946692878
T3 - 2014 International Conference on Power, Control and Embedded Systems, ICPCES 2014
BT - 2014 International Conference on Power, Control and Embedded Systems, ICPCES 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 International Conference on Power, Control and Embedded Systems, ICPCES 2014
Y2 - 26 December 2014 through 28 December 2014
ER -