Presenter Information

Franklin JakubowFollow

Major

Environmental Engineering

Anticipated Graduation Year

2021

Access Type

Open Access

Abstract

The main objective of this research project is to explore ways of making autonomous vehicles secure and protected by designing new learning-based algorithms using MATLAB/Simulink. This project involves designing a fuzzy logic controller that could be used to oversee the operation of autonomous vehicles. As compared to conventional controllers, fuzzy logic controllers are simple, flexible, could model nonlinear functions, are less expensive, and could cover wider ranges of operating conditions. Fuzzy logic controllers could be written in natural language terms that are transferrable to define security levels. Moreover, the rules could be written at various levels of complexity.

Faculty Mentors & Instructors

Brook Abegaz, PHD, Department of Engineering Science

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.

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Improving the Security of Autonomous Vehicles Using Fuzzy Logic

The main objective of this research project is to explore ways of making autonomous vehicles secure and protected by designing new learning-based algorithms using MATLAB/Simulink. This project involves designing a fuzzy logic controller that could be used to oversee the operation of autonomous vehicles. As compared to conventional controllers, fuzzy logic controllers are simple, flexible, could model nonlinear functions, are less expensive, and could cover wider ranges of operating conditions. Fuzzy logic controllers could be written in natural language terms that are transferrable to define security levels. Moreover, the rules could be written at various levels of complexity.