Now showing items 1-16 of 16

    • Air Traffic Maximization for the Terminal Phase of Flight Under FAA's NextGen Framework 

      Chipalkatty, Rahul; Rahmani, Amir R.; Egerstedt, Magnus B.; Young, R.; Twu, Philip Y. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2010-10)
      The NextGen program is the FAA's response to the ever increasing air traffic, that provides tools to increase the capacity of national airspace, while ensuring the safety of aircraft. In support of this vision, this paper ...
    • Altering UAV Flight Path by Threatening Collision 

      Pierpaoli, Pietro; Egerstedt, Magnus B.; Rahmani, Amir (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2015-09)
      The ongoing transformation of air traffic control towards decentralized decision making based on ADS-B information shared by neighboring traffic will allow all aircraft and UAS in particular, to automatically detect ...
    • Biologically Inspired Coalition Formation of Multi-Agent Systems 

      Haque, Musad A.; Rahmani, Amir R.; Egerstedt, Magnus B. (Georgia Institute of TechnologyInternational Foundation for Autonomous Agents and Multiagent Systems, 2010-05)
      We model the multi-level alliance forming ability of male bottlenose dolphins to develop a decentralized multi-level coalition formation algorithm for a multi-agent system. The goal is to produce a model that is rich enough ...
    • Biologically Motivated Shape Optimization of Foraging Fronts 

      Haque, Musad A.; Rahmani, Amir R.; Egerstedt, Magnus B.; Yezzi, Anthony (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2011-06)
      Social animals often form a predator front to charge through an aggregation of prey. It is observed that the nature of the feeding strategy dictates the geometric shape of these charging fronts. Inspired by this observation, ...
    • Controllability of Multi-Agent Systems from a Graph-Theoretic Perspective 

      Rahmani, Amir R.; Ji, Meng; Mesbahi, Mehran; Egerstedt, Magnus B. (Georgia Institute of TechnologySociety for Industrial and Applied Mathematics, 2009-02)
      In this work, we consider the controlled agreement problem for multi-agent networks, where a collection of agents take on leader roles while the remaining agents execute local, consensus-like protocols. Our aim is to ...
    • Distributed Scheduling for Air Traffic Throughput Maximization During the Terminal Phase of Flight 

      Chipalkatty, Rahul; Rahmani, Amir R.; Egerstedt, Magnus B.; Twu, Philip Y. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2010-12)
      FAA’s NextGen program aims at increasing the capacity of the national airspace, while ensuring the safety of aircraft. This paper provides a distributed merging and spacing algorithm that maximizes the throughput at the ...
    • Duty Cycle Scheduling in Dynamic Sensor Networks for Controlling Event Detection Probabilities 

      Jaleel, Hassan; Rahmani, Amir R.; Egerstedt, Magnus B. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2011-06)
      A sensor network comprising of RF or radar-based sensors has a deteriorating performance in that the effective sensor footprint shrinks as the power level decreases. Power is typically only drawn from the sensor nodes when ...
    • Dynamic Spectral Clustering 

      LaViers, Amy; Rahmani, Amir R.; Egerstedt, Magnus B. (Georgia Institute of Technology, 2010-07)
      Clustering is a powerful tool for data classification; however, its application has been limited to analysis of static snapshots of data which may be time-evolving. This work presents a clustering algorithm that employs a ...
    • Geometric Foraging Strategies in Multi-Agent Systems Based on Biological Models 

      Haque, Musad A.; Rahmani, Amir R.; Egerstedt, Magnus B. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2010-12)
      In nature, communal hunting is often performed by predators by charging through an aggregation of prey. However, it has been noticed that variations exist in the geometric shape of the charging front; in addition, ...
    • A Hybrid, Multi-Agent Model of Foraging Bottlenose Dolphins 

      Haque, Musad A.; Rahmani, Amir R.; Egerstedt, Magnus B. (Georgia Institute of TechnologyElsevierThe International Federation of Automatic Control, 2009-09)
      Social behavior of animals can offer solution models for missions involving a large number of heterogeneous vehicles, such as light combat ships, unmanned aerial vehicles, and unmanned underwater vehicles. We draw ...
    • Merging and Spacing of Heterogeneous Aircraft in Support of NextGen 

      Chipalkatty, Rahul; Twu, Philip Y.; Rahmani, Amir R.; Egerstedt, Magnus B. (Georgia Institute of TechnologyAmerican Institute of Aeronautics and Astronautics, 2012-09)
      FAA’s NextGen program aims to increase the capacity of the national airspace, while ensuring the safety of aircraft. This paper provides a distributed merging and spacing algorithm that maximizes the throughput at the ...
    • Multi-UAV Convoy Protection: An Optimal Approach to Path Planning and Coordination 

      Ding, Xu Chu; Rahmani, Amir R.; Egerstedt, Magnus B. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2010)
      In this paper we study the problem of controlling a group of Unmanned Aerial Vehicles (UAVs) to provide convoy protection to a group of ground vehicles. The UAVs are modeled as Dubins vehicles flying at a constant ...
    • Optimal Motion Primitives for Multi-UAV Convoy Protection 

      Rahmani, Amir R.; Ding, Xu Chu; Egerstedt, Magnus B. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2010-05)
      In this paper we study the problem of controlling a number of Unmanned Aerial Vehicles (UAVs) to provide convoy protection to a group of ground vehicles. The UAVs are modeled as Dubins vehicles flying at a constant ...
    • Optimal Multi-UAV Convoy Protection 

      Ding, Xu Chu; Rahmani, Amir R.; Egerstedt, Magnus B. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2009-04)
      In this paper, we study time-optimal trajectories for Unmanned Aerial Vehicles (UAVs) to provide convoy protection to a group of stationary ground vehicles. The UAVs are modelled as Dubins vehicles flying at a constant ...
    • Optimization of Foraging Multi-Agent System Front: A Flux-Based Curve Evolution Method 

      Haque, Musad A.; Rahmani, Amir R.; Egerstedt, Magnus B.; Yezzi, Anthony (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2011-12)
      Numerous social foragers form a foraging front that sweeps through the aggregation of prey. Based on this strategy, and using variational arguments, we develop an algorithm to provide a group-level specification of the ...
    • Probabilistic Life Time Maximization of Sensor Networks 

      Jaleel, Hassan; Rahmani, Amir R.; Egerstedt, Magnus B. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2013-02)
      The design of power-aware lifetime maximization algorithms for sensor networks is an active area of research. However, the standard assumption is that the performance of the sensors remains the same throughout the network’s ...