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

Abstract

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
Volume5
Issue number1
DOIs
StatePublished - 2020

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