Modeling and State Estimation of Linear Destination-Constrained Dynamic Systems-Reference-Cited by-同舟云学术

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Modeling and State Estimation of Linear Destination-Constrained Dynamic Systems

Published:2022 Issue: Volume:70 Page:2374-2387
ISSN:1053-587X
Container-title:IEEE Transactions on Signal Processing
language:
Short-container-title:IEEE Trans. Signal Process.

Author:

Xu Linfeng¹^ORCID,Li X. Rong²^ORCID,Liang Yan¹^ORCID,Duan Zhansheng³^ORCID

Affiliation:

1. School of Automation, Northwestern Polytechnical University, Xi’an, China

2. Department of Electrical Engineering, University of New Orleans, New Orleans, LA, USA

3. Center for Information Engineering Science Research, School of Automation Science and Engineering, Xi’an Jiaotong University, Xi’an, China

Funder

National Natural Science Foundation of China

National Key Research and Development Plan

Natural Science Basic Research Plan in Shaanxi Province of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/78/9675017/09756239.pdf?arnumber=9756239

Reference51 articles.

1. Modeling and State Estimation for Dynamic Systems With Linear Equality Constraints

2. Forecasting multivariate time series with linear restrictions using constrained structural state-space models

3. Applying linear time-varying constraints to econometric models: With an application to demand systems

4. Constraining Kalman Filter and Smoothing Estimates to Satisfy Time-Varying Restrictions

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