Selection of Modulating Functions’ Design Parameters for Estimation Problems
Type
Article
KAUST Department
Applied Mathematics and Computational Science ProgramComputational Bioscience Research Center (CBRC)
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Estimation, Modeling and ANalysis Group
Date
2020-06-10Online Publication Date
2020-06-10Print Publication Date
2021-01Permanent link to this record
http://hdl.handle.net/10754/663526Metadata
Show full item recordAbstract
In this paper, an effective algorithm for selecting the design parameters in the modulating functions-based method (MFBM) is introduced. The appropriate selection of these parameters improves the performance of the estimation approach and reduces the computational cost. The effectiveness and robustness of the algorithm are shown through numerical simulations in a noisy environment.Citation
Asiri, S., Liu, D.-Y., & Laleg-Kirati, T.-M. (2020). Selection of Modulating Functions’ Design Parameters for Estimation Problems. IEEE Control Systems Letters, 1–1. doi:10.1109/lcsys.2020.3000849Journal
IEEE Control Systems LettersAdditional Links
https://ieeexplore.ieee.org/document/9113435/https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9113435