Earth Dr. Daniel DeLaurentis
System-of-Systems Laboratory
School of Aeronautics & Astronautics
Purdue
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SoS research is applicable to challenges in numerous application domains.Some of the recent projects under study at the SoSL are listed below. Publications stemming from research in these projects can be found in the Publications section.

 
   
   


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 analysys 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

   
         
   

Investigating Approaches to Achieve Modularity Benefits in the Acquisition Ecosystem
Sponsor: Systems Engineering Research Center (SERC), DoD UARC

Synopsis: The objective is to develop methods, processes and tools (MPTs) to support activities related to SoS architectural evolutions. A concept of MOSA ecosystem is defined to determine utility and to explore different relationships, constructs, factors, metrics, etc. that support quantitative assessment on benefits of modularity. The ecosystem should further explore design patterns and characteristics that enable modularity.

   
   

MOSA

   
         
   


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

   
         
   

Aircraft Technology Modeling and Assessment
Sponsor: FAA ASCENT Center of Excellence

Synopsis: The project is focused on developing a model that measures fleet-wide environmental impact from new aircraft concepts and technologies under various carbon policy scenarios, based on an approach that mimics airline behavior. Fleet-level Environmental Evaluation Tool (FLEET) considers uses a "system dynamics-like" approach to allow demand, fleet size/composition, and fares to evolve over time while considering scenarios with varying technological, policy, & economic factors/

   
   

System Dynamics Approach

   
         
   

Characterizing Mission and System Architecture via Anlaysis of Operational and Developmental Interdependencies
Sponsor: NASA Marshall Space Flight Center

Synopsis: The objective is to analyze and compare architectures for the human exploration of Mars based on analysis of the impact of interdependencies. The approach involves identifying items in human Mars exploration architectures and modeling and analyzing them using SODA, SDDA, and RPO.

   
   

EDL operational dependencies

   
         
   

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

   
         
   

Development of Model-Based Engineering (MBE) processes
Sponsor: Charles Stark Draper Laboratories, Inc. / NSWC Crane

Synopsis: The objective is to generate repeatable process for block upgrades among a distributed set of players towards integrated M&S for model-based testing and V&V. We use machine learning and optimization based approaches to implement reverse engineering phase of 'Diamond Model' process.

   
   

Diamond Model

   
         
   

Powering What's Next in Freight Transportation
Principal-investigator: Dr. Neera Jain
Co-investigators: Dr. Daniel DeLaurentis, Dr. Greg Shaver
Sponsor: Cummins Inc.

Synopsis:The objective of this project is to imagine the future of freight transportation and identify potential opportunities to power such a future. The project considers intermodal freight transportation and considers the potential for connected and collaborative forms of technologies to be introduced in future transportation concepts. We utilize a system-of-systems driven framework to envision and ultimately identify potentially viable opportunities towards improved outcomes for freight transportation.

   
   

Freight Transportation SoS

   
         
   

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.

   
         
   

Lockheed Martin Company (LMC) Integrated Air and Missile Defense Modeling Collaboration
Sponsor: Lockheed Martin

Synopsis: The objective is to develop a flexible, scalable model to optimize IAMD architectures. IAMDs are integration of all sensors and weapons with a missile command in a missile theater. We also aim to identify optimal configuration of COTS/near-COTS systems for a representative, medium-range IAMD scenario. This is achieved by creating medium-fidelity models for constituent systems in DAF and characterizing the design and performance space, and developing metrics to identify the high-performing architectures.

   
         
   

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

   
         
 
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