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Neural Network Control System of UAV Altitude Dynamics and Its Comparison with the PID Control System
2018
Journal of Advanced Transportation
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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
2020
Sensors
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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
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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]
2020
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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
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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