Registered Data

[CT190]

[00481] Optimal Control Analysis of Estrogen Paradox for Breast Cancer Treatment

  • Session Date & Time : 1E (Aug.21, 17:40-19:20)
  • Type : Contributed Talk
  • Abstract : Although it is well known that estrogen promotes the formation of breast cancer, it can also be used to treat the condition. The "estrogen paradox" refers to this. In addition, estrogen treatment given for a brief period of time can effectively eradicate breast cancer, however, long-term treatment can result in cancer recurrence. We suggest a unique ODE-based mathematical model that takes into account p53 and the estrogen hormone, as well as dormant and active cancer cells. Numerical analyses were used in conjunction with optimal control theory.
  • Classification : 93-xx, 90-xx, 91-xx, Mathematical Oncology
  • Author(s) :
    • Segun Isaac Oke (Ohio University, Athens)
    • Rachid Ouifki (University of Pretoria, South Africa)

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

  • Session Date & Time : 1E (Aug.21, 17:40-19:20)
  • 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
  • Author(s) :
    • Karthick SA (National Tsing Hua University)
    • Bor-Sen Chen (National Tsing Hua University)

[01416] Autonomous controllers for a Swarm of UAVs

  • Session Date & Time : 1E (Aug.21, 17:40-19:20)
  • Type : Contributed Talk
  • Abstract : Self-organization patterns emerge in biological swarms' due to collective interactions from their individuals. This paper presents a set of novel autonomous controllers of the individuals of a swarm of planar unmanned aerial vehicles for the MPC problem. The stabilizing continuous nonlinear controllers of the UAVs gives rise to diverse pattern formation due to the communication that occurs amongst an individual and its neighbors. The controllers' effectiveness is illustrated through computer and numerical simulations.
  • Classification : 93-XX, 93-10, 93Dxx, 93D05
  • Author(s) :
    • Sandeep Ameet Kumar (School of Information Technology, Engineering, Mathematics and Physics, The University of the South Pacific)