Computational & Information Science Division Tuesday, May 17, 2005 Randy Zachery, ARO

1. Computational & Information Science Division Tuesday, May 17, 2005 Randy Zachery, ARO

2. Outline • ARO and CISD • Organization • Opportunity Driven Research • CISD Mission & Thrust Areas • Systems & Control Program

3. RDECOM Organizational Structure RDECOM Commanding General Simulation & TrainingTechnology Center ARDEC AMRDEC AMSAA Aviation & Missile Research, Development & Engineering Center Armament Research, Development & Engineering Center Army Material Systems Analysis Authority CERDEC NSC ECBC TARDEC ARL Communications Electronics Research, Development & Engineering Center Edgewood Chemical Biological Center Tank Automotive Research Development, Development & Engineering Center Natick Soldier Center ARO

4. ARO’s ScientificDivision Structure Director Physical Sciences Engineering Sciences Mathematical & Info Sciences Mathematics Mechanical Sciences Physics Computing & Info Sciences Chemical Sciences Materials Science Life Sciences Electronics Environmental Sciences

5. 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)

6. Outline • ARO and CISD • Organization • Opportunity Driven Research • CISD Mission & Thrust Areas • Systems & Control Program

7. 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

8. Opportunity Driven Researchvs.Research to Overcome Technology Barriers Opportunity (Innovations) Paradigm Shift Return (Understanding & Performance) Overcome Tech Barriers Investment ($, Time) • Innovative research may/may not be focused – higher probability of failure • Overcome tech barrier research is focused – lower probability of failure

9. RDECOM S&T Continuum ARO ARL RDECs Long- Term Mid- Term Near- Term U n i v e r s i t i e s C T As I n – H o u s e Single Investigator University Centers Industry URI UARCs Focused Tech Opportunity/ Transfer Opportunity Driven Focused Innovations Overcome Tech Barriers Most Innovative Most Focused Extramural In-House

10. CISD Thrust & Program Areas technology from war fighter’s needs and vision Army Scientific & Technology Needs and Objectives Autonomous Systems Networked Information Processing Secure and RobustInformation Systems division level scientific research thrust areas - both needs and opportunity driven Program Areas (Subfields) Communications & Networks Software & Knowledge-Based Systems Systems & Control Information Processing & Fusion InformationAssurance Relevance ROI (Gap, risk, payoff), ... Sponsored Research

11. Outline • ARO and CISD • Organization • Opportunity Driven Research • CISD Mission & Thrust Areas • Systems & Control Program

12. Program Goal Develop the mathematical and systemstheory to support modeling, analysis, design, and robust control of complex real-time dynamic systems, especially as they relate to the Army’s mission.

13. Support of Division Thrust Areas 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. • 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

14. Program Objectives & Emphasis • 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 analysiscapability 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, ...

15. Research Applications • 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

16. Core Projects Research topicPrincipal Investigator Network-centric control Baillieul, Boston U (MURI) Lemmon, Notre Dame Autonomous & Sastry, UC Berkeley (MURI) Cooperative Control Tsiotras, GaTech Shen, USC Dubowsky, MIT Tsiotras, Georgia Tech Control Theory Annaswami, MIT Lewis, UTA Teel, UC Santa Barbara Sheih, U Houston Tarn, Washington U Emerging Areas Kumar, UPenn (MURI) Tannenbaum, GaTech Shamma, UCLA