Selection of Modulating Functions’ Design Parameters for Estimation Problems

Sharefa M. Asiri, Da-Yan Liu, Taous-Meriem Laleg-Kirati

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


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.
Original languageEnglish (US)
Pages (from-to)1-1
Number of pages1
JournalIEEE Control Systems Letters
Issue number1
StatePublished - 2020

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01


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