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Fractional data-driven model for stabilization of uncertain discrete-time nonlinear systems

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Publication:2096103
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DOI10.1016/j.jfranklin.2022.09.053zbMath1501.93109OpenAlexW4298149816MaRDI QIDQ2096103

Aldo-Jonathan Muñoz-Vázquez, Chidentree Treesatayapun

Publication date: 16 November 2022

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2022.09.053

zbMATH Keywords

stabilizationdata-driven controlfractional-order variationuncertain discrete-time nonlinear systems


Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Control/observation systems with incomplete information (93C41) Discrete-time control/observation systems (93C55) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Fractional derivatives and integrals (26A33) Sampled-data control/observation systems (93C57)




Cites Work

  • Unnamed Item
  • An adaptive PID learning control of robot manipulators
  • Discrete-time fractional optimal control
  • Fractional PID Controllers for Industry Application. A Brief Introduction
  • Fractional-order systems and PI/sup /spl lambda//D/sup /spl mu//-controllers
  • Model‐based vs data‐driven adaptive control: An overview
  • On Model-Free Adaptive Control and Its Stability Analysis
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