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  • ElecEng
  • GC-ElecEng 2021
  • 61.Cnf-1191
ElecEng Congresses with Published Papers
GC-ElecEng 2020, Valencia
9
GC-ElecEng 2021, Valencia
11
Papers Published at GC-ElecEng 2021
All 11 Papers
IDAuthors and TitlePages
43.Cnf-38 Mr. Aron Kondoro
Ms. Diana Rwegasira
Prof. Imed Dhaou
Prof. Hannu Tenhunen
Trends of using blockchain technology in the smart grid
1-7
63.Cnf-75 Mr. Andres Rojas
Prof. Gordana J. Dolecek
Evaluation of Supervised Machine Learning Classification Algorithms for Fingerprint Recognition
8-11
62.Cnf-106 Mr. Joan Carles Montero
Ms. Merce Feliu
Dr. Joan Bas
Optical Communications Through Low Orbit Satellites
12-17
63.Cnf-140 Dr. Mohammad Al-Mousa
Mr. Nael Sweerky
Dr. Ghassan Samara
Dr. Mohammed Alghanim
Ms. Abla Hussein
Mr. Braa Qadoumi
General Countermeasures of Anti-Forensics Categories
18-23
62.Cnf-143 Dr. Ghassan Samara
Mr. Mohammad Hussein
Dr. Khalid Alqawasmi
Alarm System at street junctions (ASSJ) to avoid accidents Using VANET system
24-28
43.Cnf-1170 Mr. Zayd Khashshan
Dr. Moudar Zgoul
Optic Flow-based Vision System for Autonomous and Collision-free Navigation of Micro Aerial Vehicles
29-34
62.Cnf-1173 Mr. Fernando Salazar-Quiñonez
Prof. Raed Abd-Alhameed
Mr. Andrew Cowley
Mr. Derek Bladen
UHF Radio Extender System for Ship to Shore Communications using 3D SBR for Positioning
35-41
63.Cnf-1174 Prof. Gordana J. Dolecek
Improving Characteristics of Compensated Sharpened CIC Decimation Filters
42-45
35.Cnf-1175 Ms. Aika Silveira Miura
Ms. Mar Parra Boronat
Prof. Jaime Lloret
Prof. Miguel Rodilla
LED optical sensor prototype to determine dissolved oxygen saturation in water
46-51
35.Cnf-1176 Dr. Falih Alkhafaji
Modelling High speed Robotic Arm for Industrial Applications
52-61
43.Cnf-1177 Mr. Juan Luis Mayor Puyol
Dr. Victor Monzón Baeza
Bycicle Sharing System Using an IoT Network
62-66
61.Cnf-1191 Paper View Page
Title A New Contribution to the Nonlinear Direct Adaptive Inverse Control Based on Volterra Model Subject to Sinusoidal Disturbance
Authors Mr. Rodrigo Noronha, Instituto Federal de Educação Ciência e Tecnologia do Maranhão, Imperatriz, Brazil
Abstract In this paper, a new methodology of nonlinear Direct Adaptive Inverse Control (DAIC) based on Volterra model is proposed. Using the model based on Volterra series, it is possible to track the plant inverse dynamic in a structure composed of linear and nonlinear terms. The proposed formulations for the control methodology were developed for a Volterra series truncated up to the second order kernel. The update of the estimate of the weights vector of Volterra model was performed by the Modified Variable Step Size FLMS (MVSS-FLMS). Since the Volterra model is able to represent nonlinear dynamics of polynomial type, the evaluation of the proposed control methodology was performed on a system described by a Nonlinear AutoRegressive with eXogenous inputs (NARX) model.
Track ACS: Automatic Control Systems
Conference 1st Mosharaka International Conference on Control and Systems Engineering (MIC-Control 2021)
Congress 2021 Global Congress on Electrical Engineering (GC-ElecEng 2021), 10-12 December 2021, Valencia, Spain
Pages --1
Topics Adaptive Control Systems
Nonlinear Control Design
ISSN 2227-331X
DOI
BibTeX @inproceedings{1191ElecEng2021,
title={A New Contribution to the Nonlinear Direct Adaptive Inverse Control Based on Volterra Model Subject to Sinusoidal Disturbance},
author={Rodrigo Noronha},
booktitle={2021 Global Congress on Electrical Engineering (GC-ElecEng 2021)},
year={2021},
pages={--1},
doi={}},
organization={Mosharaka for Research and Studies} }
Paper Views 23 Paper Views Rank 381/524
Paper Downloads 13 Paper Downloads Rank 382/524
GC-ElecEng 2021 Visits: 109262||MIC-Control 2021 Visits: 9818||ACS Track Visits: 3064