Dynamical Approach to the Ishitani-Abe Model: S-MPC forImproved CO2 Artificial Photosynthesis

  • Authors

    • Isamu Ohnishi Hiroshima University
    https://doi.org/10.14419/gvkn9d18
  • Dynamical systems; center manifold; renormalization group; chaos, s-MPC, CO2 artificial photosynthesis reduction

  • Abstract

    We propose a dynamical systems approach to enhance CO2 photosynthesis using the Ishitani-Abe five-variable CSTR model, integrating center manifold reduction, renormalization group (RG) methods, and stochastic model predictive control (s-MPC). Simulations show a baseline Open-Loop yield of 9.5% with chaotic dynamics, improved to over 10% by s-MPC, surpassing the 10% target with a peak yield of approximately 10.1%. Detailed analyses are in the supplement.

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  • How to Cite

    Ohnishi, I. (2025). Dynamical Approach to the Ishitani-Abe Model: S-MPC forImproved CO2 Artificial Photosynthesis. International Journal of Advanced Mathematical Sciences, 11(2), 25-45. https://doi.org/10.14419/gvkn9d18