Airborne networking utilizes direct flight-to-to-flight communication for flexible information sharing, safe maneuvering, and coordination of time-critical missions. It is challenging because of the high mobility, stringent safety requirements, and uncertain airspace environment. This project uses a co-design approach that exploits the mutual benefits of networking and decentralized mobility control in an uncertain heterogeneous environment.
Cyber-Physical Systems (CPS) that modify themselves to improve performance or repair damage often recast the modular relationships among system components that enable Verification and Validation (V&V). We focus on in-flight control adaptation of damaged Flapping-Wing Micro Air Vehicles (FW-MAV).
Many cyber-physical systems(CPS) deployed in a number of applications ranging from airport security systems and transportation systems to health-care and manufacturing rely on a wide variety of sensors for prediction and control. In many of these systems, acquisition of information requires the deployment and activation of physical sensors which can result in increased expense or delay.
This poster summarizes our recently awarded grant on computationally aware cyber-physical systems (CPSs). The objective of this project is to generate new fundamental science for CPSs that enables more accurate and faster trajectory synthesis for controllers with nonlinear plants, or nonlinear constraints that encode obstacles. The approach is to utilize hybrid control to switch between models whose accuracy is normalized by their computational burden.
The objective of this research is to create tools to manage uncertainty in the design and certification process of safety-critical aviation systems. The research focuses on three innovative ideas to support this objective. First, probabilistic techniques will be introduced to specify system-level requirements and bound the performance of dynamical components.
This repository contains artifacts related to the upcoming multi-institution student competition.
These challenges will provide engineering students the opportunity to validate their analytic studies through a real-world vehicle design and verification experience.
