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Title: EKF-Based Enhanced Performance Controller Design for Nonlinear Stochastic Systems

Abstract

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.

Authors:
ORCiD logo; ORCiD logo; ORCiD logo; ORCiD logo; ORCiD logo
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1455313
Report Number(s):
PNNL-SA-121736
Journal ID: ISSN 0018-9286
DOE Contract Number:
AC05-76RL01830
Resource Type:
Journal Article
Resource Relation:
Journal Name: IEEE Transactions on Automatic Control; Journal Volume: 63; Journal Issue: 4
Country of Publication:
United States
Language:
English
Subject:
Stochastic nonlinear systems; Complex industrial process

Citation Formats

Zhou, Yuyang, Zhang, Qichun, Wang, Hong, Zhou, Ping, and Chai, Tianyou. EKF-Based Enhanced Performance Controller Design for Nonlinear Stochastic Systems. United States: N. p., 2018. Web. doi:10.1109/TAC.2017.2742661.
Zhou, Yuyang, Zhang, Qichun, Wang, Hong, Zhou, Ping, & Chai, Tianyou. EKF-Based Enhanced Performance Controller Design for Nonlinear Stochastic Systems. United States. doi:10.1109/TAC.2017.2742661.
Zhou, Yuyang, Zhang, Qichun, Wang, Hong, Zhou, Ping, and Chai, Tianyou. Sun . "EKF-Based Enhanced Performance Controller Design for Nonlinear Stochastic Systems". United States. doi:10.1109/TAC.2017.2742661.
@article{osti_1455313,
title = {EKF-Based Enhanced Performance Controller Design for Nonlinear Stochastic Systems},
author = {Zhou, Yuyang and Zhang, Qichun and Wang, Hong and Zhou, Ping and Chai, Tianyou},
abstractNote = {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.},
doi = {10.1109/TAC.2017.2742661},
journal = {IEEE Transactions on Automatic Control},
number = 4,
volume = 63,
place = {United States},
year = {Sun Apr 01 00:00:00 EDT 2018},
month = {Sun Apr 01 00:00:00 EDT 2018}
}