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    HYBRID
    2004
    Springer
    150views Control Systems» more  HYBRID 2004»
    Inference Methods for Autonomous Stochastic Linear Hybrid Systems
    14 years 14 days ago
    Inference Methods for Autonomous Stochastic Linear Hybrid Systems
    Download  cobweb.ecn.purdue.edu
    We present a parameter inference algorithm for autonomous stochastic linear hybrid systems, which computes a maximum-likelihood model, given only a set of continuous output data of...
    Hamsa Balakrishnan, Inseok Hwang, Jung Soon Jang, ...
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    JAIR
    2008
    113views more  JAIR 2008»
    Graphical Model Inference in Optimal Control of Stochastic Multi-Agent Systems
    13 years 7 months ago
    Graphical Model Inference in Optimal Control of Stochastic Multi-Agent Systems
    Download  www.jair.org
    In this article we consider the issue of optimal control in collaborative multi-agent systems with stochastic dynamics. The agents have a joint task in which they have to reach a ...
    Bart van den Broek, Wim Wiegerinck, Bert Kappen
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    CDC
    2008
    IEEE
    131views Control Systems» more  CDC 2008»
    Probabilistic testing for stochastic hybrid systems
    14 years 1 months ago
    Probabilistic testing for stochastic hybrid systems
    Download  www.seas.upenn.edu
    — In this paper we propose a testing based method for safety/ reachability analysis of stochastic hybrid systems. Testing based methods are characterized by analysis based on the...
    A. Agung Julius, George J. Pappas
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    AAAI
    2006
    165views Intelligent Agents» more  AAAI 2006»
    Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems
    13 years 8 months 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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    HYBRID
    2007
    Springer
    115views Control Systems» more  HYBRID 2007»
    Robust, Optimal Predictive Control of Jump Markov Linear Systems Using Particles
    14 years 1 months ago
    Robust, Optimal Predictive Control of Jump Markov Linear Systems Using Particles
    Download  web.mit.edu
    Hybrid discrete-continuous models, such as Jump Markov Linear Systems, are convenient tools for representing many real-world systems; in the case of fault detection, discrete jumps...
    Lars Blackmore, Askar Bektassov, Masahiro Ono, Bri...
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