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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
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CAREER: Co-Design of Networking and Decentralized Control to Enable Aerial Networks in an Uncertain Airspace
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Submitted by Yan Wan on Tue, 10/03/2017 - 12:25pm
Project Details
Lead PI:
Yan Wan
Performance Period:
09/01/16
-
05/31/20
Institution(s):
University of Texas at Arlington
Sponsor(s):
National Science Foundation
Award Number:
1714519
624 Reads. Placed 595 out of 804 NSF CPS Projects based on total reads on all related artifacts.
Abstract:
Airborne networking, unlike the networking of fixed sensors, mobile devices, and slowly-moving vehicles, is very challenging because of the high mobility, stringent safety requirements, and uncertain airspace environment. Airborne networking is important because of the growing complexity of the National Airspace System with the integration of unmanned aerial vehicles (UAVs). This project develops an innovative new theoretical framework for cyber-physical systems (CPS) to enable airborne networking, which utilizes direct flight-to-to-flight communication for flexible information sharing, safe maneuvering, and coordination of time-critical missions. This project uses an innovative co-design approach that exploits the mutual benefits of networking and decentralized mobility control in an uncertain heterogeneous environment. The approach departs from the usual perspective that views physical mobility as communication constraints, communication as constraints for decentralized mobility control, and uncertain environment as constraints for both. Instead, approach taken here proactively exploits the constraints, uncertainty, and new structures with information to enable high-performance designs. The features of the co-design such as scalability, fast response, trackability, and robustness to uncertainty advance the core CPS science on decision-making for large-scale networks under uncertainty. The technological advances developed in this research will contribute to multiple fields, including mobile networking, decentralized control, experiment design, and general real-time decision making under uncertainty for CPS. Technology transfer will be pursued through close collaboration with industries and national laboratories. This novel research direction will also serve as a unique backdrop to inspire the CPS workforce. New teaching materials will benefit the future CPS workforce by equipping them with a knowledge base in networking and control. Broad outreach and dissemination activities that involve undergraduate student societies, K-12 school teaching, and public events, all stemming from the PI's current efforts, will be enhanced.
Related Artifacts
Presentations
Co-Design of Networking and Decentralized Control to Enable Aerial Networks in an Uncertain Airspace
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Co-Design of Networking and Decentralized Control to Enable Aerial Networking in an Uncertain Airspace
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Download
Posters
Wan_1714519-CAREER-Poster-2021_0.pdf
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Download
Co-Design of Networking and Decentralized Control to Enable Aerial Networking in an Uncertain Airspace
|
Download
CAREER: Co-Design of Networking and Decentralized Control to Enable Aerial Networking in an Uncertain Airspace
|
Download
Publications
{Effective Uncertainty Evaluation in Large-Scale Systems (book chapter)}
{Analysis of Random Mobility Model with Sense and Avoid Protocols for UAV Traffic Management}
{Analysis of the Random Direction Random Mobility Model with A Sense-and-Avoid Protocol}
{Strategic Air Traffic Management under Uncertainties using Scalable Sampling-based dynamic Programming and Q-learning Approaches}
{RSSI-based heading control for robust long-range aerial networking using directional antennas}
{Design and implementation of a remote UAV-based mobile health monitoring system}
{Formation control of Teleoperating Cyber-Physical System subject to time delay and actuator saturation constraints}
{UAV-carried long distance Wi-Fi communication infrastructure}
{Scalable Multidimensional Uncertainty Evaluation Approach to Strategic Air Traffic Flow Management}
{Energy conservative distributed average consensus through connected dominating set}
{Airborne WiFi networks through directional antennae: An experimental study}
{Estimating modes of a complex dynamical network from impulse response data: Structural and graph-theoretic characterizations}
{Consensus estimation-based target localization in underwater acoustic sensor networks}
{Formation Control of Teleoperating Cyber-Physical Syste With Time Delay and Actuator Saturation}
{A Scalable Sampling Method to High-Dimensional Uncertainties for Optimal and Reinforcement Learning-Based Controls}
{Received signal strength indicator-based decentralised control for robust long-range aerial networking using directional antennas}
{Long-Range and Broadband Aerial Communication using Directional Antennas (ACDA): Design and Implementation}
Videos
CAREER: Co-Design of Networking and Decentralized Control to Enable Aerial Networks in an Uncertain Airspace
Co-Design of Networking and Decentralized Control to Enable Aerial Networks in an Uncertain Airspace
CAREER: Co-Design of Networking and Decentralized Control to Enable Aerial Networks in an Uncertain Airspace
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Networked Control
Control
Real-Time Coordination
Foundations
Airborne Networking
Decentralized Control