Sequential Predictors under Time-Varying Delays: Effects of Delayed State Observations in Dynamic Controller

Jerome Weston 1 Michael Malisoff 2 Frédéric Mazenc 3
3 DISCO - Dynamical Interconnected Systems in COmplex Environments
L2S - Laboratoire des signaux et systèmes, Inria Saclay - Ile de France, SUPELEC, CNRS - Centre National de la Recherche Scientifique : UMR8506
Abstract : In a 2016 IEEE Conference on Decision and Control paper, our team designed sequential predictors for time-varying linear systems with time-varying delays, to prove global exponential stabilization properties using a feedback control that is computed in terms of the state of the last sequential predictor. This allowed feedback delays of arbitrarily large sup norm in the original system. Here we provide a significant generalization to more challenging cases with arbitrarily large feedback delay bounds, and where, in addition, current values of the plant state are not available to use in the sequential predictors. We illustrate our work in a pendulum example.
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Communication dans un congrès
CDC 2017 - 56th IEEE Conference on Decision and Control, Dec 2017, Melbourne, Australia. pp.1-6
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Dernière modification le : mercredi 17 janvier 2018 - 15:48:30

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Jerome Weston, Michael Malisoff, Frédéric Mazenc. Sequential Predictors under Time-Varying Delays: Effects of Delayed State Observations in Dynamic Controller. CDC 2017 - 56th IEEE Conference on Decision and Control, Dec 2017, Melbourne, Australia. pp.1-6. 〈hal-01660132〉

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