Declarative cyber physical systems modeling to facilitate autonomous vehicles design

2015 ◽  
Author(s):  
Wei Ding ◽  
Feng-Jen Yang ◽  
Sesha Srinivasan
Keyword(s):  
Autonomous Vehicles ◽  
Cyber Physical Systems ◽  
Systems Modeling ◽  
Physical Systems

scholarly journals Design of IoT-based Cyber–Physical Systems: A Driverless Bulldozer Prototype

Information ◽  
2019 ◽  
Vol 10 (11) ◽  
pp. 343 ◽  
Author(s):  
Nelson H. Carreras Guzman ◽  
Adam Gergo Mezovari
Keyword(s):  
Autonomous Vehicles ◽  
Industrial Revolution ◽  
Physical World ◽  
Cyber Physical Systems ◽  
Transportation Systems ◽  
Small Scale ◽  
Security Risk ◽  
Physical Systems ◽  
Wireless Communication Network ◽  
Enhance Efficiency

From autonomous vehicles to robotics and machinery, organizations are developing autonomous transportation systems in various domains. Strategic incentives point towards a fourth industrial revolution of cyber–physical systems with higher levels of automation and connectivity throughout the Internet of Things (IoT) that interact with the physical world. In the construction and mining sectors, these developments are still at their infancy, and practitioners are interested in autonomous solutions to enhance efficiency and reliability. This paper illustrates the enhanced design of a driverless bulldozer prototype using IoT-based solutions for the remote control and navigation tracking of the mobile machinery. We illustrate the integration of a cloud application, communication protocols and a wireless communication network to control a small-scale bulldozer from a remote workstation. Furthermore, we explain a new tracking functionality of work completion using maps and georeferenced indicators available via a user interface. Finally, we provide a preliminary safety and security risk assessment of the system prototype and propose guidance for application in real-scale machinery.

Fuzzy Control in Cyber-Physical Systems

2020 ◽  
Vol 2 (2) ◽  
pp. 46-58
Author(s):  
Michael Gr. Voskoglou
Keyword(s):  
Fuzzy Control ◽  
Autonomous Vehicles ◽  
Input Data ◽  
Fuzzy Numbers ◽  
Geometric Approach ◽  
Cyber Physical Systems ◽  
Control Model ◽  
Triangular Fuzzy Numbers ◽  
Physical Systems ◽  
Braking System

Controllers are devices regulating the operation of other devices or systems. Fuzzy controllers analyze the input data in terms of variables which take on continuous values in the interval [0, 1]. Since fuzzy logic has the advantage of expressing the solution of the problems in the natural language, the use of fuzzy instead of traditional controllers makes easier the mechanization of tasks that have been already successfully performed by humans. In the present paper a theoretical fuzzy control model is developed for the braking system of autonomous vehicles, which are included among the most characteristic examples of Cyber-Physical Systems. For this, a simple geometric approach is followed using triangular fuzzy numbers as the basic tools.

Cyber-Physical Systems Modeling for Security Using SysML

2019 ◽  
pp. 665-675
Author(s):  
Bryan T. Carter ◽  
Cody H. Fleming ◽  
Carl R. Elks ◽  
Georgios Bakirtzis
Keyword(s):  
Cyber Physical Systems ◽  
Systems Modeling ◽  
Physical Systems
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