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Description
  • The paper proposes a suboptimal adaptive control for a nonlinear stochastic system subject to functional uncertainty. The problem of a real-time identification of the unknown nonlinear system is tackled by using the Gaussian process based non-parametric model. The covariance function of the Gaussian process is chosen in such a way that allows deriving the control law in a closed form. The control action stems from the bicriterial dual approach that uses two separate criteria to introduce both of the mutually opposing aspects between estimation and control. Properties of the novel dual controller are tested and validated in a numerical example by Monte Carlo analysis.
  • The paper proposes a suboptimal adaptive control for a nonlinear stochastic system subject to functional uncertainty. The problem of a real-time identification of the unknown nonlinear system is tackled by using the Gaussian process based non-parametric model. The covariance function of the Gaussian process is chosen in such a way that allows deriving the control law in a closed form. The control action stems from the bicriterial dual approach that uses two separate criteria to introduce both of the mutually opposing aspects between estimation and control. Properties of the novel dual controller are tested and validated in a numerical example by Monte Carlo analysis. (en)
Title
  • Gaussian Process Based Dual Adaptive Control of Nonlinear Stochastic Systems
  • Gaussian Process Based Dual Adaptive Control of Nonlinear Stochastic Systems (en)
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  • Gaussian Process Based Dual Adaptive Control of Nonlinear Stochastic Systems
  • Gaussian Process Based Dual Adaptive Control of Nonlinear Stochastic Systems (en)
skos:notation
  • RIV/49777513:23520/14:43922206!RIV15-GA0-23520___
http://linked.open...avai/riv/aktivita
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  • P(ED1.1.00/02.0090), P(GC13-07058J), S
http://linked.open...vai/riv/dodaniDat
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  • 17959
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  • RIV/49777513:23520/14:43922206
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  • Gaussian process; dual control; Adaptive control (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [408AEF9A0403]
http://linked.open...v/mistoKonaniAkce
  • Palermo, Itálie
http://linked.open...i/riv/mistoVydani
  • Palermo, Itálie
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  • Proceeding of the 22nd Mediterrian Conference on Control and Automation
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  • Šimandl, Miroslav
  • Král, Ladislav
  • Prüher, Jakub
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number of pages
http://bibframe.org/vocab/doi
  • 10.1109/MED.2014.6961517
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  • IEEE
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  • 978-1-4799-5900-6
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  • 23520
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