Presentation + Paper
9 May 2018 Time critical systems and open architecture
Author Affiliations +
Abstract
This paper will present the importance of focusing on and investigating the requirements for open digital communication architectures. Depending on the system that is being designed and implemented, a timing analysis of the overall control systems that comprise the whole system should be closely investigated using control systems analysis techniques. In doing so at an early stage of development, it would ensure the success of particular projects by bringing to light potential communication issues that would otherwise go unstudied. With systems that foster open architecture, it is important to note that having such an open system with plug and play capability may impose a great strain on a communication backbone. If this backbone were responsible for delivering time critical messages such as control system commands, then any latency that is imposed due to the communication backbone must be taken into consideration. Using frequency and time domain analysis, it is possible to highlight these areas and understand where most of the system degradation could occur if the communication latency were too high. With this in mind, one can determine the most appropriate physical layer and memory bandwidth requirements for each subsystem and an appropriate hub to route the data to the proper end recipient.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Patrick T. Bagby, Jonathan Shaver, and Sergio Cafarelli "Time critical systems and open architecture", Proc. SPIE 10651, Open Architecture/Open Business Model Net-Centric Systems and Defense Transformation 2018, 1065103 (9 May 2018); https://doi.org/10.1117/12.2303421
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Weapons

Telecommunications

Control systems

Actuators

Analytical research

Performance modeling

Feedback loops

Back to Top