Simulation Scheduling Real Time Systems using Smart Genetic Algorithms

Alhakkak, Nada M.

doi:10.1109/esci50559.2021.9396912

2021 International Conference on Emerging Smart Computing and Informatics (ESCI) 2021

DOI: 10.1109/esci50559.2021.9396912

|View full text |Cite

Simulation Scheduling Real Time Systems using Smart Genetic Algorithms

Nada M. Alhakkak

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Quadrotor Real-Time Simulation: A Temporary Computational Complexity-Based Approach

et al. 2022

View full text Add to dashboard Cite

The interaction of digital systems with dynamic systems requires synchrony and the accomplishment of time constrains, so the simulation of physical processes needs an implementation by means of real-time systems (RTS). However, as it can be expected, every simulation and/or implementation might demand too many computational resources, surpassing the capacity of the processor used by computational systems. This is the reason for the need to perform a temporary computational complexity analysis based on the study of the behavior of the execution times of the implemented simulation. In this regard, the Real-Time Operating Systems (RTOS) feature time managing tools, which allow their precise measurement and the establishment of scheduling criteria in process execution. Therefore, this research proposes accomplishing a temporary computational complexity analysis of the real-time simulation by an embedded system (ES) of an unmanned aerial vehicle (UAV) propelled by four rotors. Derived from this analysis, formal definitions are elaborated and proposed, which establish a close relationship between the temporary computational complexity and typical real-time temporary constraints. To the best of the author’s knowledge, the definitions presented in this article have not been reported in the literature. Furthermore, to perform the temporary computational complexity analysis of the UAV, the mathematical modeling based on the Euler–Lagrange approach is presented in detail. Finally, simulations were performed using a real-time system implemented on the Embedded Computer System (ECS) Raspberry Pi 2 Model B+, in order to validate the suggested definitions.

show abstract

Quadrotor Real-Time Simulation: A Temporary Computational Complexity-Based Approach

et al. 2022

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Simulation Scheduling Real Time Systems using Smart Genetic Algorithms

Cited by 1 publication

References 7 publications

Quadrotor Real-Time Simulation: A Temporary Computational Complexity-Based Approach

Quadrotor Real-Time Simulation: A Temporary Computational Complexity-Based Approach

Contact Info

Product

Resources

About