TY - JOUR
T1 - Selection of Modulating Functions’ Design Parameters for Estimation Problems
AU - Asiri, Sharefa M.
AU - Liu, Da-Yan
AU - Laleg-Kirati, Taous-Meriem
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/663526
UR - https://ieeexplore.ieee.org/document/9113435/
UR - http://www.scopus.com/inward/record.url?scp=85087439726&partnerID=8YFLogxK
U2 - 10.1109/LCSYS.2020.3000849
DO - 10.1109/LCSYS.2020.3000849
M3 - Article
SN - 2475-1456
VL - 5
SP - 1
EP - 1
JO - IEEE Control Systems Letters
JF - IEEE Control Systems Letters
IS - 1
ER -