Electrical and Communications Systems(ECS) Cyber Infrastructure Investments

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13 Νοε 2013 (πριν από 3 χρόνια και 8 μήνες)

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National

Science Foundation

Electrical and Communications Systems(ECS)

Cyber Infrastructure Investments

Vittal S. Rao and Paul Werbos

FY 02 & FY 03 Investments


Town Hall Meeting


October 29, 2003


The Physical Layer


Devices and Networks


National Nanofabrication Users Network (NNUN)


Nanofabrication and Nanoengineering Education


Ultra
-
High
-
Capacity Optical Communications and Networking


Electric Power Sources, Distributed Generation and Grids


Information Layer


Algorithms, Information and Design


General
tools for distributed, robust, adaptive, hybrid control
& related tools for modeling, system identification, estimation


General

tools for sensors
-
to
-
information & to decision/control


Generality via computational intelligence, machine learning,
neural networks & related pattern recognition, data mining etc.


Integration of Physical Layer and Information Layer


Wireless Communication Systems


Self
-
Organizing Sensor and Actuator Networks


System on Chip for Information and Decision Systems


Reconfigurable Micro/Nano Sensor Arrays


Efficient and Secure Grids and Testbeds for Power Systems




National

Science Foundation

Possible ECS Cyberinfrastructure
Investments in the Future


Collaborative Research Using National Nanotechnology
Infrastructure Networks (NNIN)


Distributed Sensors and Actuators Networks for Decision
and Action


Building of Collaborative Research Communities in VLSI,
Sensor Networks, Power Systems, Wireless
Communications, and Complex Systems


Chip
-
Based Systems Incorporating Multiple Sensors,
Computation, Actuation, and Wireless Interfaces


Embedded Smart Sensors and Networks for Surveillance


Remotely Guided Intelligent Robotic Systems


Interdisciplinary Studies for Power Systems


Robust Fault
-
Tolerant Security Systems for Critical
Infrastructures


Optimal Management of Complex Systems (ADP)&DSOPF


More General Modeling Methods & Integration


Quantum Technology


Learning, Lithography, Etc.




National

Science Foundation

Cyberinfrastructure Relies on Ubiquitous Diverse
Sensor Access to the Physical World


Emerging
unique

combined
requirements


Real time

distributed detection and control


Reconfigurability

handles diversity,unpredictability


High integrity

for safe, robust, secure deployments


Platform energy efficiency

& harvesting capability


Problem: Designer productivity
-
complexity
mismatch


Forced the use of COTS components & architectures


Limits performance in processing, control,
and communication


ECS challenge:

Rapid development of
application
-
specific integrated networked
sensors & actuators


Platform
-
based approach


Agile self
-
configuring hardware/software
modules.


Standard HW/SW interfaces, control,
and management.


Structured design methodology


Sensor, communication, and controls tools


Development under constraints of performance,
verified operations, and safe response.

HelioMote

National

Science Foundation

Sensing

Comm

Control

Self
-
Configuring

HW Modules

Coordinated

SW Service

Components

Cyberinfrastructure: The Entire Web From Sensors

To Decisions/Actions/Control For Max Performance

National

Science Foundation

Beyond Bellman: Learning & Approximation for
Optimal Management of Larger Complex Systems


Basic thrust is
scientific
. Bellman gives exact
optima for 1 or 2 continuous state vars. New
work allows 50
-
100 (thousands sometimes).
Goal is to
scale up in space and time

--

the
math we need to know to know how brains do
it. And unify the recent progess.


Low lying fruit
--

missile interception,
vehicle/engine control, strategic games


Workshops: ADP02 in Mexico
ebrains.la.asu.edu/~nsfadp; ADP04 with
Dynamic Stochastic OPF04 April 2004


National

Science Foundation

Dynamic Stochastic Optimal Power Flow (DSOPF):

A Vision or Target for Research to Integrate the
“Nervous System” of Power Infrastructure


DSOPF02 started from EPRI
question: can we optimally
manage&plan the whole grid as
one

system, with foresight, etc.?


Closest past precedent:Momoh’s
OPF integrates&optimizes many
grid functions


but deterministic
and without foresight. UPGRADE!


ADP math required to add
foresight and stochastics,
critical to more complete
integration.


New teams needed,
forming; DSOPF04