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Stochastic Observability and Feedback Control in Network Congestion Control

Concepts of observability and reconstructibility are developed for stochastic systems; starting with extension of the definitions for deterministic systems and building to linear, nonlinear and then hidden Markov model systems and with a focus on complete observability. An underlying traffic congestion control approach from TCP/IP is used to motivate the study and characterize the central issues. Fundamental questions are raised about the connection between reconstructibility and the benefits achievable by feedback control. The general concepts are broadly defined and analyzed and the network congestion control algorithm demonstrates the ideas and links to adaptive control.

Type of Seminar:
IfA Seminar
Prof. Robert Bitmead
Department of Mechanical & Aerospace Engineering, University of California, San Diego
Feb 11, 2011   16.00

LFO G25, Schmelzbergstrasse 9
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Biographical Sketch:
Bob Bitmead holds the Cymer Corporation Endowed Chair in the Department of Mechanical & Aerospace Engineering at the University of California, San Diego. He regularly consults with industry in control, modeling, signal processing, and communications. He is a Fellow of IFAC, IEEE and the Australian Academy of Technological Sciences & Engineering. He is an accredited Australian Football umpire ( which skills he applies in matches across the US. He is visiting IfA ETH until mid-April.