Cyber-Physical Systems (CPS) PROGRAM SOLICITATION NSF 21-551 REPLACES DOCUMENT(S): NSF 20-563

Thirteenth IEEE International Conference on Pervasive Computing and Communications (IEEE PerCom 2015) http://www.percom.org St. Louis, Missouri, USA | March 23 - 27, 2015 Sponsored by: IEEE Computer Society (IEEE TCCC, IEEE TCPP) National Science Foundation Pervasive and Mobile Computing Journal (Elsevier) Missouri University of Science and Technology, Rolla, USA       *** Registration Details ***

With electronic devices increasingly interacting with each other and with the physical world around them, device behavior is becoming more and more like human behavior, namely reliant on experiences and not just data. Hence, there’s a disconnect between how most devices have been engineered and what what practitioners are expecting them to do, and because of this fact, there’s also a disconnect between the common cyber-security protections that protect data and some of the desirable proofs and verifications that can be highly valuable to cyber-physical devices.

The goal of this project is to create a scalable and robust cyber-physical system (CPS) framework for the observation and control of the functional interdependencies between bridge structures (stationary physical systems) and trucks (mobile physical agents).  A CPS framework (Figure 1) is being developed to monitor and control trucks within a single highway corridor to manage the imposed loads and the consumption of structural life by trucks on highway infrastructure including bridges.

Cyber-physical Systems (CPS) integrate computing, network communication, and control to facilitate smart-world systems. Nonetheless, the interconnection of sensing and actuating devices in the Internet of Things (IoT) creates new uncertainties and countermeasures must be developed. Deep Learning is an emerging tool with the power to conduct data analysis to address uncertainties.

Overview: Communication networks, which convey system measurements from sensors to controllers, play a key role in cyber physical systems (CPSs) such as smart grids, unmanned aerial vehicles (UAVs), and robotic networks. In contrast to traditional communication networks such as the Internet or cellular networks, CPS communication networks aims at stabilizing or optimizing the physical dynamics, thus re-quiring new theoretical foundations and design methodologies.

Overview. The fundamental challenge in cyber-physical systems is the confluence of distinct scientific and engineering models, methods, and tools for cyber and physical systems. Cyber systems are primarily about processing information, formally modeled as patterns of bits. Physical systems are primarily about structure and dynamics, the evolution of the state of the system in time. There are certainly connections between these models, methods, and tools. For example, cyber methods may be used to build simulations of physical systems, and physical systems (e.g.