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      Mechanically Actuated Capacitor Microphone Control using MPC and NARMA-L2 Controllers

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          Abstract

          In this paper, a capacitor microphone system is presented to improve the conversion of mechanical energy to electrical energy using a nonlinear auto regressive moving average-L2 (NARMA-L2) and model predictive control (MPC) controllers for the analysis of the open loop and closed loop system. The open loop system response shows that the output voltage signal need to be improved. The comparison of the closed loop system with the proposed controllers have been analyzed and a promising result have been obtained using Matlab/Simulink.

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          Author and article information

          Journal
          ScienceOpen Preprints
          ScienceOpen
          27 June 2020
          Affiliations
          [1 ] School of Electrical and Computer Engineering
          [2 ] Faculty of Electrical and Computer Engineering
          Article
          10.14293/S2199-1006.1.SOR-.PPRDOZ8.v1

          This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

          All data generated or analysed during this study are included in this published article (and its supplementary information files).

          Engineering

          Microphone, Nonlinear auto regressive moving average-L2, Model predictive control

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