Electrical and Communications Systems(ECS) Cyber Infrastructure Investments

1. 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 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

2. 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. Possible ECS Cyberinfrastructure Investments in the Future

3. Emerging uniquecombined requirements Real time distributed detection and control Reconfigurabilityhandles 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. Cyberinfrastructure Relies on Ubiquitous Diverse Sensor Access to the Physical World HelioMote

4. Self-Configuring HW Modules Sensing Comm Control Coordinated SW Service Components Cyberinfrastructure: The Entire Web From Sensors To Decisions/Actions/Control For Max Performance

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

6. 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 Dynamic Stochastic Optimal Power Flow (DSOPF):A Vision or Target for Research to Integrate the “Nervous System” of Power Infrastructure