Highly computationally efficient state filter based on the delta operator
Zhang, Xiao and Ding, Feng and Xu, Ling and Yang, Erfu (2019) Highly computationally efficient state filter based on the delta operator. International Journal of Adaptive Control and Signal Processing, 33 (6). pp. 875-889. ISSN 0890-6327 (https://doi.org/10.1002/acs.2995)
Preview |
Text.
Filename: Zhang_etal_IJACSP_2019_Highly_computationally_efficient_state_filter_based_on_the_delta_operator.pdf
Accepted Author Manuscript Download (555kB)| Preview |
Abstract
The Kalman filter is not suitable for the state estimation of linear systems with multistate delays, and the extended state vector Kalman filtering algorithm results in heavy computational burden because of the large dimension of the state estimation covariance matrix. Thus, in this paper, we develop a novel state estimation algorithm for enhancing the computational efficiency based on the delta operator. The computation analysis and the simulation example show the performance of the proposed algorithm.
ORCID iDs
Zhang, Xiao, Ding, Feng, Xu, Ling and Yang, Erfu ORCID: https://orcid.org/0000-0003-1813-5950;-
-
Item type: Article ID code: 72083 Dates: DateEvent30 June 2019Published23 April 2019Published Online26 March 2019AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Design, Manufacture and Engineering Management Depositing user: Pure Administrator Date deposited: 17 Apr 2020 12:04 Last modified: 19 Sep 2024 19:58 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/72083