TY - GEN
T1 - State Estimation with Linear Equality Constraints Based on Trajectory Function of Time and Karush-Kuhn-Tucker Conditions
AU - Zhou, Jinyang
AU - Li, Tiancheng
AU - Wang, Xiaoxu
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In this paper, we address the constrained target tracking problem based on the approach of the trajectory function of time, in which the target state satisfies equality constraints. What is different from the previous work is that we handle equality constraints by means of utilizing Karush-Kuhn-Tucker conditions within the trajectory curve fitting framework. A simple numerical example has been used for demonstrating the advantage of our proposed approach in comparison with the exiting Kalman filter based on the projection approach and the pseudo-observation approach.
AB - In this paper, we address the constrained target tracking problem based on the approach of the trajectory function of time, in which the target state satisfies equality constraints. What is different from the previous work is that we handle equality constraints by means of utilizing Karush-Kuhn-Tucker conditions within the trajectory curve fitting framework. A simple numerical example has been used for demonstrating the advantage of our proposed approach in comparison with the exiting Kalman filter based on the projection approach and the pseudo-observation approach.
KW - Constrained target tracking
KW - Karush-Kuhn-Tucker conditions
KW - Least squares fitting
KW - Trajectory function of time
UR - http://www.scopus.com/inward/record.url?scp=85122967136&partnerID=8YFLogxK
U2 - 10.1109/ICCAIS52680.2021.9624523
DO - 10.1109/ICCAIS52680.2021.9624523
M3 - 会议稿件
AN - SCOPUS:85122967136
T3 - 10th International Conference on Control, Automation and Information Sciences, ICCAIS 2021 - Proceedings
SP - 438
EP - 443
BT - 10th International Conference on Control, Automation and Information Sciences, ICCAIS 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Conference on Control, Automation and Information Sciences, ICCAIS 2021
Y2 - 14 October 2021 through 17 October 2021
ER -