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[01032] Memory event-triggered finite-time fault control for neural networks system

  • Session Time & Room : 1E (Aug.21, 17:40-19:20) @F401
  • Type : Contributed Talk
  • Abstract : By wielding METS, this topic explores finite-time issue for neural networks comprise to actuator failures and deception attack. By engaging Lyapunov function and integral inequality technique, sufficient conditions in the structure of linear matrix inequality assures the asymptotic mean-square finite-time boundedness of the considered model. Ultimately, the capability of the proposed control design is demonstrated through two numerical examples.
  • Classification : 93-XX
  • Format : Talk at Waseda University
  • Author(s) :
    • Karthick SA (National Tsing Hua University)
    • Bor-Sen Chen (National Tsing Hua University)