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    HYBRID
    2007
    Springer
    115views Control Systems» more  HYBRID 2007»
    Robust, Optimal Predictive Control of Jump Markov Linear Systems Using Particles
    15 years 5 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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    NIPS
    1993
    109views Information Technology» more  NIPS 1993»
    Mixtures of Controllers for Jump Linear and Non-Linear Plants
    15 years 2 days ago
    Mixtures of Controllers for Jump Linear and Non-Linear Plants
    Download  reference.kfupm.edu.sa
    We describe an extension to the Mixture of Experts architecture for modelling and controlling dynamical systems which exhibit multiple modesof behavior. This extension is based on...
    Timothy W. Cacciatore, Steven J. Nowlan
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    AUTOMATICA
    2004
    71views more  AUTOMATICA 2004»
    Nonlinear observers for perspective time-invariant linear systems
    14 years 10 months ago
    Nonlinear observers for perspective time-invariant linear systems
    Download  netra.math.ttu.edu
    Perspective dynamical systems arise in machine vision, in which only perspective observation is available. This paper proposes and studies a Luenberger-type nonlinear observer for...
    Rixat Abdursul, Hiroshi Inaba, Bijoy K. Ghosh
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    ICINCO
    2004
    153views Robotics» more  ICINCO 2004»
    Iterative Linear Quadratic Regulator Design for Nonlinear Biological Movement Systems
    15 years 4 days ago
    Iterative Linear Quadratic Regulator Design for Nonlinear Biological Movement Systems
    Download  maeweb.ucsd.edu
    This paper presents an Iterative Linear Quadratic Regulator (ILQR) method for locally-optimal feedback control of nonlinear dynamical systems. The method is applied to a musculo-s...
    Weiwei Li, Emanuel Todorov
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    BC
    1999
    108views more  BC 1999»
    Exact digital simulation of time-invariant linear systems with applications to neuronal modeling
    14 years 10 months ago
    Exact digital simulation of time-invariant linear systems with applications to neuronal modeling
    Download  material.brainworks.uni-freiburg.de
    An ecient new method for the exact digital simulation of time-invariant linear systems is presented. Such systems are frequently encountered as models for neuronal systems, or as s...
    Stefan Rotter, Markus Diesmann
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