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Engineered Resilient Systems, overview and status, 31 october 2011
1. Engineered Resilient Systems (ERS)
S&T Priority
Description and Roadmap
Dr. Robert Neches
ERS PSC Lead
Director, Advanced Engineering Initiatives, ODASD SE
Robert.Neches@osd.mil
31 October 2011
ERS PSC,Overview
31 Octoberr 2011 Page-1
Distribution Statement A – Cleared for public release by OSR on 10/31/2011, SR Case # 12-S-0260 applies.
2. Engineered Resilient Systems Spans
the Systems Life cycle
Resilience: Effective in a wide range of situations,
readily adaptable to others through reconfiguration or replacement,
with graceful and detectable degradation of function
1 - Affordable via faster eng., less rework
2 - Effective
via better informed
design decision
making
3 - Adaptable
through design &
test for wider
range of mission
contexts
Uncertain futures, and resultant mission volatility,
require affordably adaptable and effective systems – done quickly
ERS PSC,Overview
31 Octoberr 2011 Page-2
Distribution Statement A – Cleared for public release by OSR on 10/31/2011, SR Case # 12-S-0260 applies.
3. The Problem Goes Beyond Process:
Need New Technologies, Broader Community
Rapidly
necks
down
alterna&ves
Decisions
made
w/o
info
50
years
of
process
reforms
Compe-ng
designs
Rqmts2
haven’t
controlled
AoA
Redesign
&me,
cost
and
Eng.
design
Risk
reduc-on
Compete
LRIP
Rqmts1
T&E
Etc. performance
T&E
Sequen&al
and
slow
Informa&on
lost
at
every
step
Ad
hoc
reqmts
refinement
Fast, easy, inexpensive up-front engineering:
• Automatically consider many variations
• Propagate changes, maintain constraints
• Introduce and evaluate many usage scenarios
• Explore technical & operational tradeoffs
• Iteratively refine requirements
• Adapt and build in adaptivity
• Learn and update
ERS PSC,Overview
31 Octoberr 2011 Page-3
Distribution Statement A – Cleared for public release by OSR on 10/31/2011, SR Case # 12-S-0260 applies.
4. Engineered Resilient Systems:
Needs and Technology Issues
Creating & fielding affordable, effective systems entails:
• Deep trade-off analyses across mission contexts
• Adaptability, effectiveness and affordability in the trade-space
• Maintained for life
• More informative requirements
• Well-founded requirements refinement
• More alternatives, maintained longer
Doing so quickly and adaptably requires new technology:
• Models with representational richness
• Learning about operational context
• Uncertainty- and Risk- based tools
Starting point: Model- and Platform- based engineering
ERS PSC,Overview
31 Octoberr 2011 Page-4
Distribution Statement A – Cleared for public release by OSR on 10/31/2011, SR Case # 12-S-0260 applies.
5. System Representation and Modeling:
Technical Gaps and Challenges
Technology 10-Yr Goal Gaps
Capturing
• Combining
live
and
virtual
worlds
• Physical
and
• Bi-‐direc6onal
linking
of
physics-‐based
&
logical
structures
Model
95%
sta6s6cal
models
of
a
complex
• Behavior
• Key
mul6disciplinary,
mul6scale
models
weapons
• Interac&on
with
system
• Automated
and
semi-‐automated
the
environment
acquisi6on
techniques
and
other
systems
• Techniques
for
adaptable
models
We need to create and manage many classes (executable, depictional,
statistical...) and many types (device and environmental physics, comms,
sensors, effectors, software, systems ...) of models
ERS PSC,Overview
31 Octoberr 2011 Page-5
Distribution Statement A – Cleared for public release by OSR on 10/31/2011, SR Case # 12-S-0260 applies.
6. Characterizing Changing Operational
Environments: Technical Gaps and Challenges
Technology 10-Yr Goal Gaps
• Learning
from
live
and
virtual
Deeper
opera6onal
systems
understanding
of
warfighter
needs
• Synthe6c
environments
for
Military
experimenta6on
and
learning
Directly
gathering
Effec-veness
• Crea6ng
opera6onal
context
models
opera&onal
data
Breadth
(missions,
environments,
threats,
Assessment
tac6cs,
and
ConOps)
Understanding
Capability
opera&onal
• Genera6ng
meaningful
tests
and
use
impacts
of
cases
from
opera6onal
data
alterna&ves
• Synthesis
&
applica6on
of
models
ERS PSC,Overview
31 Octoberr 2011 Page-6
Distribution Statement A – Cleared for public release by OSR on 10/31/2011, SR Case # 12-S-0260 applies.
7. Cross-Domain Coupling:
Technical Gaps and Challenges
Technology 10-Yr Goal Gaps
• Dynamic
modeling/analysis
workflow
BeHer
interchange
• Consistency
across
hybrid
models
between
incommensurate
Weapons
• Automa6cally
generated
surrogates
models
system
modeled
• Seman6c
mappings
and
repairs
fully
Resolving
across
• Program
interface
extensions
that:
temporal,
domains
• Automate
parameteriza6on
mul&-‐scale,
and
boundary
condi6ons
mul&-‐physics
• Coordinate
cross-‐phenomena
simula6ons
issues
• Tie
to
decision
support
• Couple
to
virtual
worlds
Making the wide range of model classes and types work together
effectively requires new computing techniques (not just standards)
ERS PSC,Overview
31 Octoberr 2011 Page-7
Distribution Statement A – Cleared for public release by OSR on 10/31/2011, SR Case # 12-S-0260 applies.
8. Tradespace Analysis:
Technical Gaps and Challenges
Technology 10-Yr Goal Gaps
• Guided
automated
searches,
selec6ve
search
algorithms
Efficiently
genera&ng
• Ubiquitous
compu6ng
for
genera6ng/evalua6ng
op6ons
and
evalua&ng
• Iden6fying
high-‐impact
variables
and
likely
interac6ons
Trade
alterna&ve
analyses
• New
sensi6vity
localiza6on
algorithms
designs
over
very
large
• Algorithms
for
measuring
adaptability
Evalua&ng
condi-on
• Risk-‐based
cost-‐benefit
analysis
tools,
presenta6ons
op&ons
in
sets
mul&-‐ • Integra6ng
reliability
and
cost
into
acquisi6on
decisions
dimensional
tradespaces
• Cost-‐and
6me-‐sensi6ve
uncertainty
management
via
experimental
design
and
ac6vity
planning
Exploring more options and keeping them open longer, by managing
complexity and leveraging greater computational testing capabilities
ERS PSC,Overview
31 Octoberr 2011 Page-8
Distribution Statement A – Cleared for public release by OSR on 10/31/2011, SR Case # 12-S-0260 applies.
9. Collaborative Design & Decision Support:
Technical Gaps and Challenges
Technology 10-Yr Goal Gaps
• Usable
mul6-‐dimensional
tradespaces
Computa-onal
• Ra6onale
capture
Well-‐ /
physical
informed,
models
bridged
• Aids
for
priori6zing
tradeoffs,
low-‐ by
3D
prin-ng
explaining
decisions
overhead
collabora&ve
Data-‐driven
• Accessible
systems
engineering,
acquisi6on,
physics
and
behavioral
models
decision
trade
decisions
making
executed
and
• Access
controls
recorded
• Informa6on
push-‐pull
without
flooding
ERS requires the transparency for many stakeholders to be able to
understand and contribute, with low overhead for participating
ERS PSC,Overview
31 Octoberr 2011 Page-9
Distribution Statement A – Cleared for public release by OSR on 10/31/2011, SR Case # 12-S-0260 applies.
10. What Constitutes Success?
Adaptable (and thus robust) designs
– Diverse system models, easily accessed and modified
– Potential for modular design, re-use, replacement, interoperability
– Continuous analysis of performance, vulnerabilities, trust
– Target: 50% of system is modifiable to new mission
Faster, more efficient engineering iterations
– Virtual design – integrating 3D geometry, electronics, software
– Find problems early:
– Shorter risk reduction phases with prototypes
– Fewer, easier redesigns
– Accelerated design/test/build cycles
– Target: 12x speed-up in development time
Decisions informed by mission needs
– More options considered deeply, broader trade space analysis
– Interaction and iterative design among collaborative groups
– Ability to simulate & experiment in synthetic operational environments
– Target: 95% of system informed by trades across ConOps/env.
ERS PSC,Overview
31 Octoberr 2011 Page-10
Distribution Statement A – Cleared for public release by OSR on 10/31/2011, SR Case # 12-S-0260 applies.
11. Opportunities to Participate
DoD Needs Innovative Tools and Algorithms from
Industry and Academia
Organization
BAA Title
Closing Date
Reference #
ONR Energetic Materials Program R&D 23-Dec-11 12-SN-0001
Dept of Army Adaptive Vehicle Management System (AVMS) Phase II 6-Jan-12 W911W6-11-R-0013
BAA Reconnaissance and Surveillance payloads, sensors,
NAWC Lakehurst 14-Feb-12 N68335-11-R-0018
delivery systems and platforms
NAVFAC BAA Expeditionary technologies 2-Mar-12 BAA-09-03-RIKA
US Army USACE 2011 BAA 31-Mar-12 W912HZ-11-BAA-02
NRL NRL-Wide BAA 16-Jun-12 BAA-N00173-01
US Army RDECOM-
Technology Focused Areas of Interest BAA 15-Sep-12 W15QKN-10-R-0513
ARDEC
W911NF-07-R-0003-04
ARL Basic and Applied Scientific Research 31-Dec-12
& -0001-05
Dept of Army Army Rapid Innovation Fund BAA 29-Sep-12 W911NF11R0017
ONR BAA, Navy and Marine Corp S&T 30-Sep-12 ONR 12-002
NASC Training Sys
R&D for Modeling and Simulation Coordination Office 4-Dec-12 N61339-08-R-0013
Div
AFRL Kirtland STRIVE BAA Draft Posted FA945311R0285
WHS DoD Rapid Innovation Fund n/a HQ0034-RIF-11-BAA-0001
Reasoning, Comprehension, Perception and Anticipation
AFRL WPAFB n/a BAA-10-03-RIKA
in Multi-Domain Environments
AFRL Rome Emerging Computing Technology and Applications n/a BAA-09-08-RIKA
AFRL Rome Cross Domain Innovative Technologies n/a BAA-10-09-RIKA
AFRL Rome Computing Architecture Technologies BAA n/a BAA-09-03-RIKA
Subject to Presidential
WHS Systems 2020 n/a
Budget Approval
ERS PSC,Overview
31 Octoberr 2011 Page-11
Distribution Statement A – Cleared for public release by OSR on 10/31/2011, SR Case # 12-S-0260 applies.
12. Envisioned End State
Improved Engineering and Design Capabilities
• More environmental and mission context
• More alternatives developed, evaluated and maintained
• Better trades: managing interactions, choices, consequences
Improved Systems Improved Engineering
• Highly effective: Processes
better performance,
greater mission effectiveness • Fewer rework cycles
• Easier to adapt, • Faster cycle completion
reconfigure or replace • Better managed
• Confidence in graceful requirements shifts
degradation of function
PoC: Dr. Robert Neches, Robert.Neches@osd.mil
ODASD(SE), Rm 3C160, 3040 Defense Pentagon, Washington, DC 20301
ERS PSC,Overview
31 Octoberr 2011 Page-12
Distribution Statement A – Cleared for public release by OSR on 10/31/2011, SR Case # 12-S-0260 applies.
13. BACK-UPS
ERS PSC,Overview
31 Octoberr 2011 Page-13
Distribution Statement A – Cleared for public release by OSR on 10/31/2011, SR Case # 12-S-0260 applies.
14. Engineered Resilient Systems S&T
Priority Steering Council
AF - Ken Barker, Bill Nolte
Supporting: G. Richard Freeman, Ed Kraft, Sean Coghlan,
Kenny Littlejohn, Bob Bonneau, Ernie Haendschke,
Mark Longbrake, Dale Burnham, Al Thomas
Army - Jeffery Holland, Kevin Flamm, Elizabeth Burg, Nikki Goerger
Supporting: Dave Horner, Dave Richards, Elias Rigas,
Rob Wallace, Robert King, Chris Gaughan,
Dana Trzeciak, Lester Strauch
Navy - Bobby Junker, Wen Masters
Supporting: John Tangney, John Pazik, Terry Ericsen,
Ralph Wachter (now detailed to NSF),
Connie Heitmeyer, Lynn Ewart-Paine, Bill Nickerson
Bob Pohanka
DARPA - Chris Earl
OSD – Robert Neches
ERS PSC,Overview
31 Octoberr 2011 Page-14
Distribution Statement A – Cleared for public release by OSR on 10/31/2011, SR Case # 12-S-0260 applies.
15. Engineered Resilient Systems
Mission
volatility and
uncertain
futures Adaptability
necessitate Reflected in # of
affordably adaptations possible vs Systems Modeling
adaptable & new build 95% coverage of systems and sub-
effective Speed of solution system designs
systems Relativeto current Characterization of Changing
Adaptable through baselines, with many Operational Contexts
reconfiguration or more trades & recourses Ability to assess effectiveness of
replacement concepts across changing missions,
considered threats, environments
Affordable from
being designed, Informed Designs Cross-domain Coupling of Models
evaluated, built, and %system design that has Broad interoperation across
tested faster, with included exploration of disciplines, scales, fidelity levels
fewer design cycles
engineering trades, cost, Data-driven Tradespace Analysis
Effective through
schedule, CONOPS and Ability to analyze millions of trades,
engineering assess sensitivities & risks
informed by data- environmental variations
driven evaluations Collaborative Design & Decision
of options and Support
recourses Ability to speed decision processes
ERS PSC,Overview
31 Octoberr 2011 Page-15
Distribution Statement A – Cleared for public release by OSR on 10/31/2011, SR Case # 12-S-0260 applies.
16. Engineered Resilient Systems: Where
the Work’s Headed
Present
Future
Leveraging Knowledge and Data to Reduce Risk
Retaining Knowledge & Recourses to Increase Adaptability
ERS PSC,Overview
31 Octoberr 2011 Page-16
Distribution Statement A – Cleared for public release by OSR on 10/31/2011, SR Case # 12-S-0260 applies.
17. Example Engineering Shortfalls:
Challenges and Opportunities
• Dynamic threats and missions outstripping our ability to specify,
design and build responsive systems (IEDs, electronic warfare)
• New concepts of operations not discovered until late in design, or
until operational test (Longbow lock-on after launch)
• “Small” engineering changes with unintended consequences (F18)
• Suboptimal trades in performance, reliability, maintainability,
affordability, schedule (MRAP, FCS)
F/A-‐18
System
Level
Drawing
• Late discovery of defects (ACS sensors)
• Mismatched engineering tools (787)
• Persistent reliability/availability shortfalls
exacerbated by untrusted components
Shortfalls point to significant research challenges to
improve engineering productivity
ERS PSC,Overview
31 Octoberr 2011 Page-17
Distribution Statement A – Cleared for public release by OSR on 10/31/2011, SR Case # 12-S-0260 applies.
18. Driving Applications Producing
New Questions for Next-Gen Engineers
• Air Maneuver
• Ground Vehicles • Upgrades & Life
Cycle Extension
• Electric Ships
• Propulsion and • New Systems
Energy Systems
• How many operational concepts can this support?
• What’s the tradeoff between features and diversity?
• What are my options, trading capability vs. delivery time?
• What’re my adequate interim options?
• If the changing environment invalidates investments,
how do we recover?
ERS PSC,Overview
31 Octoberr 2011 Page-18
Distribution Statement A – Cleared for public release by OSR on 10/31/2011, SR Case # 12-S-0260 applies.
19. Engineered Resilient Systems:
“Requirements”
ERS products are engineering tools, methodologies, paradigms that link:
• Conception, design, engineering, prototyping, testing, production, field usage and adaptation
• Engineers, warfighters, industry and other stakeholders
• Adaptable (and thus robust) designs
– Diverse system models, easily accessed and modified
– Potential for modular design, re-use, replacement, interoperability
How Do We Get...
– Continuous analysis of performance, vulnerabilities, trust
Robustness • Faster, more efficient design iterations
– Virtual design, in 3D geometry, electronics, and software combined
Efficiency – Find problems early:
– Reduced risk reduction phases with prototypes
Options
– Fewer and easier redesigns
– Accelerated design/test/build cycles
• Decisions informed by mission needs
– More options considered deeply, broader trade space analyses
– Interaction and iterative design in context among collaborative groups
– Ability to simulate and experiment in synthetic operational environments
ERS PSC,Overview
31 Octoberr 2011 Page-19
Distribution Statement A – Cleared for public release by OSR on 10/31/2011, SR Case # 12-S-0260 applies.
20. Emerging Key Concepts
Model-based engineering
+ Open architectures, advanced mathematics
+ User feedback on computational prototyping
+ Collaborative environment for all phases, all stakeholders
+ Deeper tradespace / alternatives analysis
+ Engineering capability enhanced by data, tools, advanced
evaluation methods in both live and test environments
+ “Mission utility breadth” as an alternative to point design
requirements
+ Reduced engineering time from intelligent test scheduling
+ Speed and flexibility gains of rapid manufacturing
= Robust systems, efficient engineering, options against
uncertain futures
ERS PSC,Overview
31 Octoberr 2011 Page-20 Distribution Statement A – Cleared for public release by OSR on 10/31/2011, SR Case # 12-S-0260 applies.
21. Engineered Resilient Systems
Key Technical Thrust Areas
Systems Representation and Modeling
– Capturing physical and logical structures, behavior, interaction
with the environment, interoperability with other systems
Characterizing Changing Operational Contexts
– Deeper understanding of warfighter needs, directly
gathering operational data, better understanding
operational impacts of alternative designs
Cross-Domain Coupling
– Better interchange between “incommensurate” models
– Resolving temporal, multi-scale, multi-physics issues
across engineering disciplines
Data-driven Tradespace Exploration and Analysis
– Efficiently generating and evaluating alternative designs,
evaluating options in multi-dimensional tradespaces
Collaborative Design and Decision Support
– Enabling well-informed, low-overhead discussion, analysis, and
assessment among engineers and decisionmakers OSR on 10/31/2011, SR Case # 12-S-0260 applies.
ERS PSC,Overview
Distribution Statement A – Cleared for public release by
31 Octoberr 2011 Page-21
22. ERS Five Tech Enablers
PSC Agreed-upon Definitions (1 & 2)
Specifica6on
and
analysis
of
a
system
and
its
component
elements
with
Systems
respect
to
its
physical
and
logical
structures,
its
behavior
over
6me,
the
Representa-on
physical
phenomena
generated
during
opera6on,
and
its
interac6on
with
the
and
Modeling
environment,
and
interoperability
with
other
systems.
Understanding
warfighter
needs
for
capability
and
adaptability.
This
includes
gathering
data
from
users
directly,
instrumenta6on
of
live
and
virtual
Characteriza-on
opera6onal
environments,
systems,
and
system
tests.
It
also
includes
of
Changing
mechanisms
to
exploit
the
data
to
(a)
iden6fy
the
range
of
system
Opera-onal
opera6onal
contexts
(missions,
environments,
threats,
tac6cs,
and
ConOps);
Contexts
(b)
beWer
inform
designers
of
their
implica6ons;
and
(c)
enable
engineers,
warfighters
and
other
stakeholders
to
assess
adaptability,
sustainability,
affordability
and
6meliness
of
alterna6ve
system
designs
ERS PSC,Overview
31 Octoberr 2011 Page-22
Distribution Statement A – Cleared for public release by OSR on 10/31/2011, SR Case # 12-S-0260 applies.
23. ERS Five Tech Enablers
PSC Agreed-upon Definitions (3,4 & 5)
Interchange
of
informa6on
across
“incommensurate”
models.
Models
may
be
incommensurate
because
of
different
temporal
or
physical
granularity
within
a
given
discipline,
mul6-‐scale/mul6-‐physics
issues
across
different
engineering
Cross-‐Domain
disciplines,
or
factors
arising
from
differences
in
intended
audience,
e.g.,
Coupling
abstrac6ng
a
slower-‐than-‐real-‐6me
engineering
model
to
drive
a
real-‐6me
gaming
system
for
end
users.
Cross-‐Domain
Coupling
thus
subsumes
work
on
interoperability,
conversion,
abstrac6on,
summariza6on,
and
capturing
assump6ons.
Managing
the
complex
space
of
poten6al
designs
and
their
tradeoffs.
Included
are:
Data-‐driven
• Tools
for
genera6ng
alterna6ve
designs
and
conduc6ng
tradespace
analysis
Tradespace
• Algorithms
for
selec6ve
search
Explora-on
• Tools
for
performing
cost-‐
and
6me-‐
sensi6ve
design
of
experiments,
and
and
Analysis
planning
of
engineering
ac6vi6es
to
efficiently
assess
and
quan6fy
uncertainty
• Tools
for
evalua6ng
results
Collabora-ve
Tools,
methods,
processes
and
environments
that
allow
engineers,
warfighters,
Design
&
and
other
stakeholders
to
share
and
discuss
design
choices.
This
spans
human-‐
Decision
system
interac6on,
collabora6on
technology,
visualiza6on,
virtual
environments,
Support
and
decision
support.
ERS PSC,Overview
31 Octoberr 2011 Page-23
Distribution Statement A – Cleared for public release by OSR on 10/31/2011, SR Case # 12-S-0260 applies.
24. Engineered Resilient Systems:
Organizational Ranges of Interest
Future
DARPA
Army
Air Force
Navy
ERS PSC,Overview
31 Octoberr 2011 Page-24
Distribution Statement A – Cleared for public release by OSR on 10/31/2011, SR Case # 12-S-0260 applies.
25. Technology Development:
Progression of Capability Goals
Technology 3 Yr 5 Yr 7 Yr 10 Yr
Improved and accessible
An approved common
tools linking concept Demonstrate ability to Demonstrate ability to
framework for system
System Modeling design with physical and
modeling using a
model an CWS , 90% model an CWS*, 95%
electrical system realism of subsystems realism of subsystems
variety of tools
modeling
Cross-scale and some Ability to model multi-
Full CWS modeled across CWS* modeled fully
interoperability scale across physical,
Cross-Domain demonstrated for electrical, & compute
domains, sufficient to across domains, include
Coupling perform system trades materials, fluids,
physical, electrical, and domains, for both
informed by virtual analyses chemistry, etc.
computational domains eng. & ops analyses
Incorporate system Ability to evaluate Ability to evaluate and trade
Characterizing the Assessment of CWS*
model into realistic varying KPP’s of performance characteristics
system in military
Changing synthetic environment for system in synthetic in synthetic environment
relevant contexts using
Environment user feedback and data environment for user across multiple conditions
synthetic environments
on system utility feedback and ConOps
Automated SWaP Vulnerability analyses Automated analysis of
Tradespace Automated trades
measurements for multi- of timeliness, reliability mean time between
analysis under wide
Development and domain systems & malicious tampering failures, reliability, and
range of conditions, for
Analysis (physical, electrical, for multiple options in functionality under attack or
realistic CWS* system
software). complex systems degradation
Computational/physical
Multi-user , multi- 3-D visualizations, realistic
Collaborative Reference framework & models bridged by 3D
design, multi-context conops for evaluation and
environment for printing; data-driven
Design and distributed system
system evaluations in training, virtual reality
CWS* trade decisions
Decision Support synthetic experience for CWS*
modeling enabled, executed and
environments system
recorded by ERS
ERS PSC,Overview
31 Octoberr 2011 Page-25
Distribution Statement A – Cleared for public release by OSR on 10/31/2011,= Complex#Weapons System
* CWS SR Case 12-S-0260 applies.
26. ERS Roadmap:
Relation of Capabilities to Metrics
Engaging DoD, Academic & Industry R&D Initiatives
Measure 3 Yr 5 Yr 7 Yr 10 Yr
Adaptability of Design
Percentage of original system adapted
or modified in response to new 10% 25% 35% 50%
missions
Speed of Design Solution
Response time improvement, relative
to baseline time for fixed time upgrade
1.5x 2x 4x 12x
Informed Design: Breadth
Percentage of system “informed” by
models and trades that include
CONOPs and environment exploration
25% 75% 90% 95%
of potential Fielded Systems
Model- and Platform-based engineering enables both
alternative exploration and adaptability
ERS PSC,Overview
31 Octoberr 2011 Page-26
Distribution Statement A – Cleared for public release by OSR CWS = Moderately Case # 12-S-0260 applies.
* on 10/31/2011, SR Complex Weapons System
27. 43 Currently Identified Related Programs
Across DoD
• Army • Naval Research
1. C4ISR On the Move -- CERDEC 1. Formal design analysis, NRL
2. Institute for Maneuverability and Terrain Physics (IMTPS) 2. Sensor system platform
3. Institute for Creative Technologies (ICT) University 3. Future Immersive Training Environment (FITE), Navy JCTD
Affiliated Research Center (UARC) 4. Basic Research on Tradeoff Analysis, Behavioral Economics, Navy
4. MATREX (Modeling Architecture for Technology, Research 5. PSU ARL Tradespace Tools
and EXperimentation) -- RDECOM
6. Night Vision Integrated Performance Model
5. Supply Chain Risk Management (SCRM) -- SMDC
7. Unmanned Systems Cross-Functional Team
6. Condition-based maintenance and prognostics -- AMRDEC
8. Architectures, Interfaces, and Modular Systems (AIMS)
7. GEOTACS --ERDC
9. NSWC Dahlgren Strategic and Weapon Control Systems Dept
8. DEFeat of Emerging Adaptive Threats
10. Platform Optimization Tools
9. Safe Operations of Unmanned systems for
Reconnaissance in Complex Environments (SOURCE) 11. Command & Control Rapid Prototype Capability (C2RPC)
Army Technology Objective 12. Virtual World Exploration & Application Program
10. Quick Reaction and Battle Command Support Division, 13. ONR 331 M&S for System Optimization for the All Electric Warship
CERDEC 14. Electric Ship R&D Consortium
11. Concepting, Analysis, Systems Simulation & Integration • Air Force
(CASSI) Future Combat Systems (FCS) Mounted Combat 1. Network Systems and Mathematics
System (MCS) -- TARDEC
2. Measurement-Based Systems Verification
12. CASSI TARDEC
3. Trusted Silicon Stratus, AFRL/RIT
13. AMRDEC Prototype Integration Facilty
4. CREATE-AV
• DARPA 5. Service Oriented Architecture for Command and Control
1. META: Adaptable Low Cost Sensors; FANG: Fast, 6. Condition-based Maintenance
Adaptable, Next Generation Ground Combat Vehicle; iFAB 7. Advanced Manufacturing Enterprise
2. M-GRIN: Manufacturable Gradient Index Optics 8. Condition-based maintenance and prognostics
3. IRIS: Integrity and Reliability of Integrated Circuits 9. INVENT System Integration Facility: Robust Electrical Power
System; High Performance Electric Actuation System; Adaptive
4. Open Manufacturing Power & Thermal Maanagement System
• OSD 10. Architecture Modeling and Analysis for Complex Systems, AFRL/
1. Systems 2020 RY
2. Systems Engineering Research Center
ERS PSC,Overview
31 Octoberr 2011 Page-27
Distribution Statement A – Cleared for public release by OSR on 10/31/2011, SR Case # 12-S-0260 applies.
28. Issues in Building an Engineered
Resilient Systems S&T Community
• Complex integration across many technologies:
– Interdisciplinary across air, land, sea for electromechanical systems
with embedded control computational capabilities
– Spans the engineering lifecycle: Concept engineering and analysis,
Design & Prototyping, Development, Production, Sustainment
– New tools, methods, paradigms:
Linking engineers, decisionmakers, other stakeholders
– Addressing product robustness, engineers’ productivity,
and systemic retention of options
• Nascent, emerging ties to basic science, e.g.:
– Computational Approximate Representations:
Can’t get all engineering tools talking same language
– Mathematics and Computational Science of Complexity:
Can’t look at every engineering issue, need aids to determine focus
– Mathematics and Cognitive Science of Risk, Sensitivity, and Confidence:
Need decision aids for understanding implications of trades, committing $
ERS PSC,Overview
31 Octoberr 2011 Page-28
Distribution Statement A – Cleared for public release by OSR on 10/31/2011, SR Case # 12-S-0260 applies.