Loading...
EKF-Based Enhanced Performance Controller Design for Nonlinear Stochastic Systems
Zhou, Y. Zhang, Qichun Wang, H. Zhou, P. Chai, T.
Zhou, Y.
Zhang, Qichun
Wang, H.
Zhou, P.
Chai, T.
Publication Date
2018-04
End of Embargo
Supervisor
Rights
© 2018 IEEE. Reproduced in accordance with the publisher's self-archiving policy.
Peer-Reviewed
Yes
Open Access status
openAccess
Accepted for publication
2017-08-07
Institution
Department
Awarded
Embargo end date
Additional title
Abstract
In this paper, a novel control algorithm is presented to
enhance the performance of the tracking property for a class of nonlinear and dynamic stochastic systems subjected to non-Gaussian
noises. Although the existing standard PI controller can be used
to obtain the basic tracking of the systems, the desired tracking
performance of the stochastic systems is difficult to achieve due
to the random noises. To improve the tracking performance, an enhanced performance loop is constructed using the EKF-based state
estimates without changing the existing closed loop with a PI controller. Meanwhile, the gain of the enhanced performance loop can
be obtained based upon the entropy optimization of the tracking
error. In addition, the stability of the closed loop system is analyzed in the mean-square sense. The simulation results are given
to illustrate the effectiveness of the proposed control algorithm.
Version
Accepted manuscript
Citation
Zhou Y, Zhang Q, Wang H et al (2018) EKF-Based Enhanced Performance Controller Design for Nonlinear Stochastic Systems. IEEE Transactions on Automatic Control. 63(4): 1155-1162.
Link to publisher’s version
Link to published version
Link to Version of Record
Type
Article