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    AUTOMATICA
    2005
    82views more  AUTOMATICA 2005»
    From experiment design to closed-loop control
    13 years 10 months ago
    From experiment design to closed-loop control
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    The links between identification and control are examined. The main trends in this research area are summarized, with particular focus on the design of low complexity controllers ...
    Håkan Hjalmarsson
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    AUTOMATICA
    2005
    169views more  AUTOMATICA 2005»
    Analysis of input-to-state stability for discrete time nonlinear systems via dynamic programming
    13 years 10 months ago
    Analysis of input-to-state stability for discrete time nonlinear systems via dynamic programming
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    This paper presents novel analysis results for input-to-state stability (ISS) that utilise dynamic programming techniques to characterise minimal ISS gains and transient bounds. Th...
    Shoudong Huang, Matthew R. James, Dragan Nesic, Pe...
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    AUTOMATICA
    2005
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    Static decentralized control of a single-integrator network with Markovian sensing topology
    13 years 10 months ago
    Static decentralized control of a single-integrator network with Markovian sensing topology
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    Abstract-- Static stabilization of a decentralized discretetime single-integrator network that is subject to Markovian variation in the communication/sensing topology is considered...
    Sandip Roy, Ali Saberi
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    AUTOMATICA
    2005
    112views more  AUTOMATICA 2005»
    Robust maximum-likelihood estimation of multivariable dynamic systems
    13 years 10 months ago
    Robust maximum-likelihood estimation of multivariable dynamic systems
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    This paper examines the problem of estimating linear time-invariant state-space system models. In particular it addresses the parametrization and numerical robustness concerns tha...
    Stuart Gibson, Brett Ninness
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    AUTOMATICA
    2005
    103views more  AUTOMATICA 2005»
    Incorporating state estimation into model predictive control and its application to network traffic control
    13 years 10 months ago
    Incorporating state estimation into model predictive control and its application to network traffic control
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    Model predictive control (MPC) is of interest because it is one of the few control design methods which preserves standard design variables and yet handles constraints. MPC is nor...
    Jun Yan, Robert R. Bitmead
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    AUTOMATICA
    2005
    90views more  AUTOMATICA 2005»
    Linear approximations of nonlinear FIR systems for separable input processes
    13 years 10 months ago
    Linear approximations of nonlinear FIR systems for separable input processes
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    Martin Enqvist, Lennart Ljung
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    AUTOMATICA
    2005
    108views more  AUTOMATICA 2005»
    Global finite-time stabilization of a class of uncertain nonlinear systems
    13 years 10 months ago
    Global finite-time stabilization of a class of uncertain nonlinear systems
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    Xianqing Huang, Wei Lin, Bo Yang
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    AUTOMATICA
    2005
    83views more  AUTOMATICA 2005»
    Multivariable control systems - an engineering approach
    13 years 10 months ago
    Multivariable control systems - an engineering approach
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    Pedro Albertos, Antonio Sala, Mohammed Chadli
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    AUTOMATICA
    2005
    178views more  AUTOMATICA 2005»
    Spacecraft attitude control using explicit model predictive control
    13 years 10 months ago
    Spacecraft attitude control using explicit model predictive control
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    In this paper, an explicit model predictive controller for the attitude of a satellite is designed. Explicit solutions to constrained linear MPC problems can be computed by solvin...
    Øyvind Hegrenæs, Jan Tommy Gravdahl, ...
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    AUTOMATICA
    2005
    94views more  AUTOMATICA 2005»
    Further remarks on strict input-to-state stable Lyapunov functions for time-varying systems
    13 years 10 months ago
    Further remarks on strict input-to-state stable Lyapunov functions for time-varying systems
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    We study the stability properties of a class of time-varying nonlinear systems. We assume that non-strict input-to-state stable (ISS) Lyapunov functions for our systems are given ...
    Michael Malisoff, Frédéric Mazenc
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