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Past Projects


Assessing the Impact of Development Disruptions & Dependencies in Analysis of Alternatives of System-of-Systems
Co-investigator: Dr. Karen Marais (AAE)
Sponsor:System Engineering Research Center (SERC), DoD UARC

Synopsis: The objective is to develop and test methods that quantify the impact of system interdependencies and other architecture features in the context of SoS capability development. A variety of methods are investigated towards the goal of navigating the decision space that simultaneously considers the potential positive impacts of interdependencies (e.g., SoS capability) and negative impacts (e.g. risk-likelihood and consequences of disruption). The tools are constructed within an analytic workbench framework that would support tradeoff analysis on cost, performance and resilience, among other metrics, while considering the effect of interdependencies.

For more information, please visit the project overview on the SERC website and the project video.

NextGen

 

Developing an Air Connectivity Index for the United States
Sponsor: Federal Aviation Administration

Synopsis: The Air Connectivity Index (ACI) is a measure of network connectivity developed by researchers at The World Bank to determine the importance of a node within the worldwide air transport system. The ACI may be used to measure the importance of air transportation in the overall global economy. The purpose of this project is to develop an ACI for the United States network and determine if air transportation infrastructure encourages economic growth and development.

Network

 

Modeling and Simulation for Unmanned Aircraft Systems in the National Airspace System
Co-investigators: Dr. Crossley (AAE), Dr. Hwang (AAE) & Dr. Wieland (Intelligent Automation Inc.)
Sponsor: NASA Langley Research Center

Synopsis: The objective of the project is to analyze twelve UAS vehicles to create Base of Aircraft Data (BADA) formatted aerodynamic data for each one, useful in simulation tools such as Airspace Concept Evaluation System (ACES) and Multi Aircraft Control System (MACS). Through industry partners and contacts with UAS manufacturers the team will identify potential operational limitations, communication, navigation and surveillance capabilities of the 12 vehicles that includes fixed wing UAVs, rotorcraft and hybrids. BADA files for these vehicles are developed with the help of NASA's Flight Optimization System (FLOPS) and other in-house, integrated aircraft sizing tools.

 

Sufficient Statistics for System of Systems Control (S4C)
Sponsor: Missile Defense Agency (MDA)

Synopsis: The objective of this project is to build SoS so that it is "correct by design." In this project, we model the control system for missile guidance using DAF, and then conduct the verification and validation using Gaussian processes. Particularly, we model the communication latency between interceptors as well as asymmetry of communication. Outputs of this project include development and implementation of sufficient statistics and associated controllers / estimators for linear systems. In addition, we will create DAF model of cooperative guidance of two missile systems.

 

System-of-Systems Approach for Assessing New Technologies in the Next Generation Air Transportation System
Co-investigator with Dr. William Crossley, AAE
Sponsor: NASA Fundamental Aeronautics Program

Synopsis: The objective is to develop methods and tools that enable the exploration of potential long-range, fleet wide benefits from advanced technologies/vehicles in a variety of future scenarios. This project combines aircraft design, variable resource allocation, and network evolution research to project fleet benefits and emissions.

NextGen

 

Research on Defense Acquisition Management for System-of-Systems
Sponsor: Naval Postgraduate School

Synopsis: The objective is to establish an understanding and classification of underlying complexities in the acquisition of system-of-systems. This includes establishing a computer model (exploratory ABM) that exposes the dimensions of connectivity between systems and the impact of system heterogeneity and externalities across the acquisition life-cycle.

 

Architecture Analysis for NASA's Constellation Program Lunar C3I Concepts
Co-Investigator: Prof. Barrett Caldwell, IE/AAE
Sponsor: NASA's Constellation Program Systems Engineering and Integration Office

Synopsis: The purpose of this project is to abstract and construct an architectural analysis model of the NASA's Constellation Program Lunar Command, Control, Communication and Information (C3I) architecture trade space investigation, and then to employ this model to demonstrate sensitivity analysis and trade space exploration across multiple metrics. The objective of this study is to demonstrate the ability to improve informed decision support in architecting of the Lunar C3I architecture and other space exploration related architectures via the application of the our three-phase Process Model for System-of-Systems Engineering.

Lunar C3I

 

Network Restructuring Scenarios for ATO Forecasts
Sponsor: Federal Aviation Administration (FAA)

Synopsis: Through topological analysis of service networks and new algorithms for forecasting network dynamics, the objective is to identify the likelihood of new city pairs - new links - in the future air transportation system as well as the potential for new airline hubs to arise or old hubs to be eliminated.

Network

 

SoS Analysis of Metroplex Dependencies: Relationship between Policy, Economics, & Technology
Study Lead: George Mason University
Sponsor: NASA Airspace Systems Program

Synopsis: The objective is to develop and exercise a comprehensive framework for characterizing SoS dependencies in a Metroplex and develop methods to account for complexity in modeling and simulation and network effects on Metroplex development.

Metroplex1

 

A Concept for Flexible Operations and Optimized Traffic into Metroplex Regions
Co-investigators: Dr. Landry (IE), Dr. Sun (AAE), and Dr. Wieland (Intelligent Automation Inc.)
Sponsor: NASA Langley Research Center

Synopsis: The objective is to determine whether this new concept of flight plan (Flexible operations and optimized traffic into Metroplex regions) has operational value in the future. This project combines FFS (Flexible Flight Selection Model), LTV (Linear Time Varying Optimization Model), McTMA (Multi-center Traffic Management Advisor Model), and ACES (Airspace Concepts Evaluation System). This concept should allow the NAS to maximize Metroplex airport throughput, increase its resiliency to disruptions, allow maximum flexibility for users, and degrade gracefully under adverse conditions.

Metroplex2

 

Epidemiological Studies Employing Network Theory & SoS Framework
Co-investigators: Prof. Larry Glickman & Prof. George Moore, Department of Veterinary Pathobiology

Synopsis: The recent occurrence of bird-flu has caused enough agitation and concern among all the nations and has spurred massive research into not only developing vaccines and medications but also epidemic and pandemic rescue operations. The development of successful counter measures not only needs installation of massive infrastructure and management of the logistics therein but also novel approaches based on sophisticated theories concerning both the spread of a potential epidemic and the associated socio-political and socio-economic implications. With rapid globalization underway, the control of epidemics can be classified into an SoS problem. A pilot study has been initiated in collaboration with the department of Veterinary Pathobiology to map the spread of bird-flu using the theories of social-network analysis to examine a hypothetical scenario of the incidence of bird-flu in the Marion County of Indiana. The results from this pilot study are then sought to form important input to the bigger issue of developing an action plan.

 

Shared-Autonomy in Automotive Swarm
Sponsor: Honda

Synopsis: The objective is to develop optimal architectures for shared-autonomy control for swarm of vehicles operating at high speeds in close proximity. The approach combines fuzzy-logic based control with Genetic Algorithm search techniques in a MATLAB derived simulation environment.

Honda Project

 

Serious Games
Co-Investigators: Prof. Sean Brophy, ENE & Prof. David Ebert, ECE
Sponsor: Purdue Discovery Learning Center

Synopsis: The objective is to transform AAE Introduction to Aerospace Design, our sophomore design course, into a semester-long, team-based, multi-player online Serious Game. The game centers on a "Corporate Simulation" theme, in which learners must pursue quests to obtain knowledge in the midst of competition and collaboration with others. The research emphasis of the project is on engineering education, how students learn to design collaboratively and in distributed settings. The long-term goal is for the Game to be extensible and scalable: to educational levels (K-12 through senior UG) and domain applications (other engineering design courses, and corporate training).

Games To Teach

 

Design Tools for Virtual Worlds
Primary PI: Dr. Sean Brophy, ENE
Contributors: Dr. Masa Okutsu (AAE) and Dr. Mourad Ouzzani (CS)
Sponsor: National Science Foundation (NSF)

Synopsis: This research is oriented toward exploring technological development of interactive models and simulations that enhance learning in a virtual world (VW) for engineering conceptual design couched in a gaming metaphor. The objective of this research is uncover how recent advances in 3-D VW environments and virtual organizations based on "hub" technologies enable college students' self-regulated, but expert guided, exploration of conceptual design spaces and development of engineering literacy skills.

Design Tools for Virtual Worlds

 

Air Force Supply Network and Analysis and Optimization

Synopsis: The Center for Security Policy review of the MCS states that "if the armed forces are to remain capable of successfully performing the multitude of missions levied upon them by our leaders they must have 'among other things' -a dependable and sufficient airlift capacity." However, the current USAF mobility network is unable keep this capability in light of the increasing airlift demands placed upon it for troop transport. Thus, the objective of this research is to model and simulate a supply chain network that is robust and flexible; with both the resources (aircraft, base locations, infrastructure layouts) and the network in which it will operate must be designed and optimized simultaneously.

 

System of Systems Modeling and Analysis Innovation for Enhanced BMDS Architectures
Co-investigators: Dr. Saurabh Bagchi, ECE
Sponsor: Missile Defense Agency (MDA)

Synopsis: The MDA's mission is to "develop and field an integrated Ballistic Missile Defense System (BMDS) capable of providing a layered defense for the homeland, deployed forces, friends, and allies against ballistic missiles of all ranges in all phases of flight." The present research contract is aimed at achieving a significant improvement in the performance of the Command and Control, Battle Management and Communications (C2BMC) element within the BMDS via disruptive technologies and/or concepts. At maturity, this project will use agent-based models to show the capability of the BMDS to handle large raid sizes with minimal leakage and cost using fixed or adaptive C2BMC architectures.

The following link provides additional information on the project: Press Release

 

Safety Assessment for Separation Assurance in a Distributed Environment
Co-Investigators: Dr. Steven Landry
Sponsor: NASA

Synopsis: The objective is to analyze how faults in avionics can affect the safety in an airspace with self-separating aircraft. The key thrust of the project is to model and simulate faults in communication and surveillance devices in DAF airspace simulation framework and quantitatively assess their effects. The safety assessment is carried out by using a family of safety metrics.

Hierarchical Decomposition of Distributed Architectures

 

System-of-Systems Analytic Workbench (SoS-AWB)
Sponsor: Systems Engineering Research Center (SERC), DoD UARC

Synopsis: The objective is to develop organized set of methods, processes and tools (MPTs) to support activities related to SoS architectural evolutions. The SoS-AWB needs to implement methods to make accessible to SoS analysis via online Nanohub implementation. The input data specs is to be developed and needs to evolve MPTs in accordance with collaborator needs is to be investigated.

SoS-AWB

 


AURORA - AEQUOR-V (AErial aQUatic Ordinance Removal Vehicle)
Sponsor: Aurora Flight Sciences / Office of Naval Research (ONR)

Synopsis: The objective is to undertake a system-level design space exploration of hybrid aerial/underwater vehicle and determine the best vehicle architecture from a system performance perspective. Furthermore, the sensitivity of the selected vehicle design to high-level mission parameters (range, payload, number of targets, etc.) is analyzed. The focus of our research group is primarily on studying different propulsion systems and developing an appropriate propulsion model.

Flowchart

 

Embedding CyberSecurity Strategies in Distributed Control
Principal Investigator: Dr. Shaoshuai Mou
Co-Investigators: Dr. Daniel DeLaurentis
Sponsor: Northrop Grumman

Synopsis: The objective is to improve the security of large-scale multi-agent networks against cyber-attacks (deception attacks, byzantine attacks, etc.) by embedding cybersecurity strategies in distributed control. The key focus of the SoSL is to construct cyber-resilient distributed controllers and develop a framework of control theoretic approaches to construct the most resilient network for distributed computing.

Cyber Attack

 

Decision-centric foundations to modeling and analysis of complex networked systems
Principal Investigator: Dr. Jitesh Panchal
Co-Investigators: Dr. Daniel DeLaurentis
Sponsor: National Science Foundation (NSF)

Synopsis: The purpose of this project is to establish foundational techniques for modeling and analyzing the evolutionary dynamics of complex endogenous networks in terms of node-level decisions. The central hypothesis is that random-utility discrete-choice theory, based on rational utility-maximizing behavior can be used to effectively model the evolutionary dynamics of complex networked systems.

NSF Complex Networks

 

Simulation based optimization (Hybrid-Sim)
Sponsor: Sandia National Labs

Synopsis:The objective of this project is to develop prototype SoS optimization models to illustrate trade-offs between cost and performance for the proposed simulation-based optimization techniques. First, the SoS models are built in DAF, and then simulation-based optimization techniques are utilized to optimize SoS performance. Expected outputs of this project include procedure to optimize SoS using progressive hedging and an ensemble of surrogates.

 

A Systems Study of Safe, High-Capacity Architectures for Future Airspace Operations (Ab-Initio)
Principal Investigator: Dr. Steven Landry
Co-Investigators: Dr. Daniel DeLaurentis
Sponsor: NASA

Synopsis: The objective is to develop an Ab Initio architecture study for a future, safe, high-capacity air transportation system. Ab Initio architecture implies that no assumptions of current NAS, such as sectors, air space restrictions, etc., apply. This will help characterize the safety and capacity of future NAS via DAF simulation based on SySML representation. The approach for this project includes three steps: first, we develop the requirements for SySML DAF integration, second, we simulate the NAS and obtain performance metrics, and three, we compare the future NAS performance metrics with those of the current one. Agent-based modeling via DAF, discrete event simulation, and system modeling using SysML are all utilized in this project.

DAF Simulation Model

 

Optimal Selection of Organizational Structuring for Complex System Development and Acquisition
Sponsor: Naval Postgraduate School (NPS)

Synopsis: The objective of this work is to formulate and demonstrate an approach that seeks to reduce the inefficiencies attributed to the mismatch between a product architecture and the structure of the organization that developed it. The research leverages perspectives from organizational psychology and operations research to enable the objective selection of a modular product architecture, and, organizational structure. We demonstrate the approach for a simple case study based on the selection of a complex defense system architecture (product) and allocation of program managers based on data (organization) in a manner that maximizes performance of the complex system while minimizing risks attributed to mismatches in organizational requirements.

 

Swim Diagram