European Journal of Computer Science and Information Technology (EJCSIT)

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Machine Learning Based Approach to Simulate Drone Dynamics Related to Figure of Eight Maneuvering Pattern

Abstract

Drone will be a commonly use technology used by major portion of the society and simulating a given drone dynamic will be an important requirement.   There are drone dynamic simulation models to simulate popular commercial drones. There are many proposed drone dynamic models with the base of Newtonian and fluid dynamics. Hoverer these models consist of many model parameters and it is impracticable to   evaluate required model parameters to simulate a given drone. If there is a simple mechanism to built machine learning based drone dynamic model to simulate a any given drone then it is address most of the above issues.  Figure of eight maneuvering pattern or its derivative is used in many activities in the domains of aviation, maritime and ground vehicle. Hence, proposed approach and conducted experiments presents the process of developing a machine learning based drone dynamics simulation related to a figure of eight maneuvering pattern

Keywords: Done, Simulation, machine learning, maneuvering

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This work by European American Journals is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License

 

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Email ID: editor.ejcsit@ea-journals.org
Impact Factor: 7.80
Print ISSN: 2054-0957
Online ISSN: 2054-0965
DOI: https://doi.org/10.37745/ejcsit.2013

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