Post on 28-Dec-2015
transcript
Computational & Information Science Division
Tuesday, May 17, 2005Randy Zachery, ARO
Outline
• ARO and CISD• Organization• Opportunity Driven Research
• CISD Mission & Thrust Areas
• Systems & Control Program
RDECOM Organizational Structure
RDECOMCommanding General
ARL CERDEC ECBC NSC TARDEC
AMSAASimulation &
TrainingTechnology
CenterAMRDEC ARDEC
ARO
Army MaterialSystems AnalysisAuthority
EdgewoodChemicalBiologicalCenter
Aviation & MissileResearch, Development& Engineering Center
Armament Research,Development & Engineering Center
CommunicationsElectronicsResearch, Development & Engineering Center
NatickSoldierCenter
Tank AutomotiveResearch Development,Development & EngineeringCenter
ARO’s ScientificDivision Structure
Director
Mathematical& Info
Sciences
Mechanical Sciences
Electronics
Physical Sciences
Engineering Sciences
Physics
MaterialsScience
Chemical Sciences
LifeSciences
Computing &Info Sciences
Mathematics
EnvironmentalSciences
CISD Scientific Programs & Personnel
• Software & Knowledge-Based Systems (David Hislop)
• Systems and Control (Randy Zachery)
• Information Processing & Fusion (Vacant, Bill Sander)
• Communications & Networks (Robert Ulman)
• Information Assurance (Cliff Wang)
Outline
• ARO and CISD• Organization• Opportunity Driven Research
• CISD Mission & Thrust Areas
• Systems & Control Program
Computational & Information Science Division Mission
To support and sponsor basic research in information processing and computation, to enhance the war fighter's decision-making, command and control, communications, and combat system performance
Opportunity Driven Researchvs.
Research to Overcome Technology Barriers
Opportunity(Innovations)
ParadigmShift
OvercomeTech Barriers
Return(Understanding& Performance)
Investment ($, Time)
• Innovative research may/may not be focused – higher probability of failure• Overcome tech barrier research is focused – lower probability of failure
• Innovative research may/may not be focused – higher probability of failure• Overcome tech barrier research is focused – lower probability of failure
Long-Term
Mid-Term
Near-Term
OpportunityDriven
FocusedInnovations
OvercomeTech Barriers
Focused TechOpportunity/
Transfer
U n i v e r s i t i e sSingle
InvestigatorUniversity
Centers
C T As
UARCs
I n – H o u s eIndustry
ARO ARL RDECs
MostInnovative
MostFocused
Extramural
In-House
RDECOM S&T Continuum
URI
CISD Thrust & Program Areas
Autonomous Systems
NetworkedInformationProcessing
Secure and RobustInformation Systems
Army Scientific & Technology Needs and Objectives
technology from war fighter’s needs and vision
division levelscientific research thrust areas - both needs and opportunity driven
Software & Knowledge-Based Systems
Systems & Control
Communications & Networks
Information Processing & Fusion
InformationAssurance
Program Areas(Subfields)
Sponsored Research
RelevanceROI (Gap, risk, payoff), ...
Outline
• ARO and CISD• Organization• Opportunity Driven Research
• CISD Mission & Thrust Areas
• Systems & Control Program
Develop the mathematical and systems theory to support modeling, analysis, design, and robust control of complex real-time dynamic systems, especially as they relate to the Army’s mission.
Program Goal
Support of Division Thrust Areas
– research on novel sensors and sensing, use of context information, knowledge extraction and abstraction
– research on new control paradigms such as cooperative, distributed control, hierarchal, and adaptive control
– research on complexity & system theory to facilitate the construction and predict of the performance of autonomous information systems
– research on multi-agent systems to develop a practical theory that facilitates development of tools for designing teams autonomous agents whose collective behaviors emerge to achieve desired goals
Autonomous Systems
Research and develop methods to facilitate creation of intelligent multi-agent autonomous systems that perceive their environment by means of sensing and through context, and learn from and use that information to generate intelligent, goal-directed desired behaviors.
Scientific Objectives• Develop design and systems theory for autonomous, distributed,
intelligent, and embedded systems in support of envisioned future army relevant systems.
• Develop understanding of the performance, controllability, stability, scalability, adaptability, robustness, and optimality of applying control systems theory to real problems
• Develop the appropriate modeling, simulation, mathematics, and analysis capability to support the above objectives
Research Content• Control theory - optimal, non-linear, neural networks, adaptive,
probabilistic, hybrid and embedded, vision in control, quantum control, ...
• Systems Theory - intelligent systems and sensors, data & information fusion, smart structures, ...
Program Objectives & Emphasis
Application areas
• multi-agent networked control
• autonomy for UAV/UGVs such as rotorcraft, wheeled vehicles, skidding vehicles, and wall-climbing robots
• rotorcraft formation flying
• intelligent adaptive systems such as self-healing robots
• real-time ISR, sensor-networks
• game theoretic framework for complex systems
Research Applications
Research topic Principal Investigator
Network-centric control Baillieul, Boston U (MURI)Lemmon, Notre Dame
Autonomous & Sastry, UC Berkeley (MURI)Cooperative Control Tsiotras, GaTech
Shen, USCDubowsky, MITTsiotras, Georgia Tech
Control Theory Annaswami, MITLewis, UTATeel, UC Santa BarbaraSheih, U HoustonTarn, Washington U
Emerging Areas Kumar, UPenn (MURI)Tannenbaum, GaTechShamma, UCLA
Core Projects