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Neural Network Control System of UAV Altitude Dynamics and Its Comparison with the PID Control System

Jemie Muliadi, Benyamin Kusumoputro
2018 Journal of Advanced Transportation  
The development of ANN method for UAV control purposes arises due to the limitations of the conventional control method, which is the mathematical based model, involving complex expression, and most of  ...  Although the linearization simplified the solving process for such mathematical based model, omitting the nonlinear and the coupling terms is unsuitable for the dynamics of the multirotor vehicle.  ...  16 Journal of Advanced Transportation Conflicts of Interest The authors declare that there are no conflicts of interest regarding the publication of this paper.  ... 
doi:10.1155/2018/3823201 fatcat:5fmtjnnucnhcph4ryrskasc33u

PortWeather: A Lightweight Onboard Solution for Real-Time Weather Prediction

Petros Karvelis, Daniele Mazzei, Matteo Biviano, Chrysostomos Stylios
2020 Sensors  
The main goal of this study is to propose a lightweight on-board solution for real-time weather prediction.  ...  Nowadays, the new era of innovative machine learning approaches along with the availability of a wide range of sensors and microcontrollers creates increasing perspectives for providing on-board reliable  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s20113181 pmid:32503318 pmcid:PMC7309033 fatcat:dwxfackzbnfxzgv2hoabcmqtzq

Monitoring of brake performance in service of hoisting machinery [chapter]

2015 Structural Health Monitoring and Integrity Management  
or persons as a result of operation or use of this publication and/or the information contained herein.  ...  No part of this publication or the information contained herein may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, by photocopying, recording  ...  Acknowledgements On behalf of the organizing committee, we would like to thank the co-organizer and the supporting organizations.  ... 
doi:10.1201/b18510-114 fatcat:bgnhb2xxqbaojoujeal66tnrru

Soft sensors in automotive applications [article]

Marco Carratù, Universita' Degli Studi Di Salerno, Universita' Degli Studi Di Salerno
2020
A second soft sensor for the front suspension stroke velocity has been designed using two different techniques based respectively on Digital filtering and NARX neural network.  ...  More in details, a first soft sensor for the rear stroke has been developed using a Nonlinear Auto‐Regressive with eXogenous inputs (NARX) neural network.  ...  of the motorcycle V bike and the pitch Gyro.  Soft sensor: this stage, based on the suitably designed and tuned neural network presented in Chapter III, provides the predicted value of S rear at a given  ... 
doi:10.14273/unisa-2447 fatcat:fnyoe7ytg5fm5bv7ofc2y6s66q

Table of Contents

2021 2021 40th Chinese Control Conference (CCC)   unpublished
LI Zixuan, SHI Jingtao 1063 Stability Analysis of a Class of Stochastic Nonlinear Systems with Model Uncertainties Based on Neural Networks . . . . . . . . . . . . . . . . . . .  ...  LIU Jin-Cang, GENG Li-Hui, LIU Xiao-You, CHANG Yun-Wei 1276 Modeling and Simulation Analysis of Triaxial Gyro Stabilized Platform . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.23919/ccc52363.2021.9550117 fatcat:55y7a2gagfhtpc6llmfvl7gqpm