In this paper, a novel control algorithm is presented
to enhance the performance of tracking property for a class
of non-linear dynamic stochastic systems with unmeasurable
variables. To minimize the entropy of tracking errors without
changing the existing closed loop with PI controller, the enhanced
performance loop is constructed based on the state estimation by
extended Kalman Filter and the new controller is designed by
full state feedback following this presented control algorithm.
Besides, the conditions are obtained for the stability analysis in
the mean square sense. In the end, the comparative simulation
results are given to illustrate the effectiveness of proposed control
algorithm.
Revised: June 18, 2018 |
Published: April 30, 2018
Citation
Zhou Y., Q. Zhang, H. Wang, P. Zhou, and T. Chai. 2018.EKF-Based Enhanced Performance Controller Design for Nonlinear Stochastic Systems.IEEE Transactions on Automatic Control 63, no. 4:1155-1162.PNNL-SA-121736.doi:10.1109/TAC.2017.2742661