998 citations
- DEVCOM Army Research LaboratoryUS45 papers
- U.S. Army Engineer Research and Development CenterUS21 papers
- United States Army Combat Capabilities Development CommandUS20 papers
- United States Department of the ArmyUS18 papers
- United States Army Research OfficeUS17 papers
- U.S. Army Combat Capabilities Development Command Aviation & Missile Center15 papers
- Duke UniversityUS14 papers
- U.S. Army Aviation and Missile CommandUS11 papers
- Pennsylvania State UniversityUS9 papers
- Massachusetts Institute of TechnologyUS8 papers
- Oakland UniversityUS7 papers
- University of North TexasUS7 papers
7 papers · 1 filter
Sensitivity analysis of a mean-value exergy-based internal combustion engine model
Gabriele Pozzato, Denise Rizzo, Simona Onori
In this work, we conduct a sensitivity analysis of the mean-value internal combustion engine exergy-based model, recently developed by the authors, with respect to different drivin…
Mean-value exergy modeling of internal combustion engines: characterization of feasible operating regions
Gabriele Pozzato, Denise Rizzo, Simona Onori
In this paper, a novel mean-value exergy-based modeling framework for internal combustion engines is developed. The characterization of combustion irreversibilities, thermal exchan…
Exergy-based modeling framework for hybrid and electric ground vehicles
Federico Dettù, Gabriele Pozzato, Denise M. Rizzo +1
Exergy, or availability, is a thermodynamic concept representing the useful work that can be extracted from a system evolving from a given state to a reference state. It is also a…
VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms
Ting-Kuei Hu, Fernando Gama, Tianlong Chen +3
Decentralized coordination of a robot swarm requires addressing the tension between local perceptions and actions, and the accomplishment of a global objective. In this work, we pr…
POSE.R: Prediction-based Opportunistic Sensing for Resilient and Efficient Sensor Networks
James Z. Hare, Junnan Song, Shalabh Gupta +1
The paper presents a distributed algorithm, called Prediction-based Opportunistic Sensing for Resilient and Efficient Sensor Networks (POSE.R), where the sensor nodes utilize predi…
UAV Surveillance Under Visibility and Dwell-Time Constraints: A Sampling-Based Approach
Jeffrey R. Peters, Amit Surana, Grant S. Taylor +2
A framework is introduced for planning unmanned aerial vehicle flight paths for visual surveillance of ground targets, each having particular viewing requirements. Specifically, ea…