Welcome to the CSS Online Lecture Library

Welcome to the Online Lecture Library, an initiative of the IEEE Control Systems Society.  The Library features plenary lectures from CSS conferences and selected other content.  For more information, contact the Editor, Electronic Publications for the Society, Magnus Egerstedt (magnus@ece.gatech.edu).

Classic Lectures

  • Respect the Unstable
    Dr. Gunter Stein

    (This introduction is from the article cited below.)

    An understanding of fundamental limitations is an essential element in all engineering.  Shannon’s early results on channel capacity have always had center court in signal processing.  Strangely, the early results of Bode were not accorded the same attention in control. It was therefore highly appropriate...

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    Inaugural Bode Prize Lecture, Tampa, Florida, December 1989

Featured Lectures

  • New Opportunities for Control: Quantum Internal Model Principle and Decoherence Control
    Tzyh Jong Tarn

    Decoherence, which is caused due to the interaction of a quantum system with its environment plagues all quantum systems and leads to the loss of quantum properties that are vital for quantum computation and quantum information processing. Superficially, this problem appears to be the...

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    48th IEEE Conference on Decision and Control, Shanghai, China, Dec. 2009
  • Towards a System Theoretic Foundation for Control over Networks
    P.R. Kumar

    We address several issues that are important for developing a comprehensive understanding of the problems of control over networks. Proceeding from bottom to top, we describe theoretical frameworks to study the following issues, and present some answers:
    (i) Network information theory:...

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    48th IEEE Conference on Decision and Control, Shanghai, China, Dec. 2009
  • Mean Field Stochastic Control
    Peter E. Caines

    This talk presents the Mean Field (or Nash Certainty Equivalence (NCE)) methodology initiated with Min-Yi Huang and Roland Malhamé for the analysis and control of large population stochastic dynamic systems. Optimal control problems for multi-agent stochastic systems, in particular those with...

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    48th IEEE Conference on Decision and Control, Shanghai, China, Dec. 2009