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    NIPS
    2007
    173views Information Technology» more  NIPS 2007»
    A Constraint Generation Approach to Learning Stable Linear Dynamical Systems
    15 years 3 days ago
    A Constraint Generation Approach to Learning Stable Linear Dynamical Systems
    Download  books.nips.cc
    Stability is a desirable characteristic for linear dynamical systems, but it is often ignored by algorithms that learn these systems from data. We propose a novel method for learn...
    Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
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    AUTOMATICA
    2006
    99views more  AUTOMATICA 2006»
    Path-following for linear systems with unstable zero dynamics
    14 years 10 months ago
    Path-following for linear systems with unstable zero dynamics
    Download  www.nt.ntnu.no
    : A path-following problem for linear systems with unstable zero dynamics is solved. While the original control variable steers the system output along the path, the path parameter...
    Dragan B. Dacic, Petar V. Kokotovic
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    ICML
    2006
    IEEE
    137views Machine Learning» more  ICML 2006»
    Predictive linear-Gaussian models of controlled stochastic dynamical systems
    15 years 11 months ago
    Predictive linear-Gaussian models of controlled stochastic dynamical systems
    Download  www.rudary.com
    We introduce the controlled predictive linearGaussian model (cPLG), a model that uses predictive state to model discrete-time dynamical systems with real-valued observations and v...
    Matthew R. Rudary, Satinder P. Singh
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    AAAI
    2006
    165views Intelligent Agents» more  AAAI 2006»
    Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems
    15 years 3 days ago
    Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems
    Download  www.aaai.org
    The Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent parame...
    David Wingate, Satinder P. Singh
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    JMLR
    2006
    105views more  JMLR 2006»
    Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems
    14 years 10 months ago
    Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems
    Download  jmlr.csail.mit.edu
    We introduce a method for approximate smoothed inference in a class of switching linear dynamical systems, based on a novel form of Gaussian Sum smoother. This class includes the ...
    David Barber
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