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Distributed Sensing, Control, and Uncertainty (Maryland Accomplishments)

Distributed Sensing, Control, and Uncertainty (Maryland Accomplishments). P. S. Krishnaprasad University of Maryland, College Park Department of Electrical and Computer Engineering &

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Distributed Sensing, Control, and Uncertainty (Maryland Accomplishments)

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  1. Distributed Sensing, Control, and Uncertainty (Maryland Accomplishments) P. S. Krishnaprasad University of Maryland, College Park Department of Electrical and Computer Engineering & Institute for Systems Research ------------ Center for Communicating Networked Control Systems Presentation Slides for ARO Management July 1, 2003

  2. Objectives Build foundations and tools for effective integration of control, communication, and signal processing technologies based on: coping with noisy, limited number of shared (sensor-actuator) channels via (a) coding and modulation for feedback control; (b) protocols for access control; (c) signal processing and feedback control for distributed reduction of uncertainty in sensor fields; (d) development of algorithmic frameworks for on-board and off- board computation in dynamic mobile nodes of distributed systems

  3. Accomplishments Development and implementation of a platform-independent language MDLe for distributed, mobile, sensor platform motion control. Demonstration of controlled acoustic sensing activities under MDLe. Development of new platform coordination algorithms. GPS-in-the-loop feedback control. Successful development of new particle filters for state tracking, and change detection. Advancing dynamic sound source localization using biological principles with applications to distributed acoustic sensors. Stochastic models for communication channels (optical physics, quantization, and learning). Distributed and asynchronous control subject to communication constraints - new theory and algorithms

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