Design of global climate control based on fuzzy systems with concept of carbon emissions

PLOS One Design of global climate control based on fuzzy systems Fig 19. Response of atmospheric (𝜉A) in the atmosphere, and land biosphere. https://doi.org/10.1371/journal.pone.0333846.g019 Fig 20. Convergence of the control inputs at different values of 𝜓(𝜅(t)). https://doi.org/10.1371/journal.pone.0333846.g020 In accordance of g with the following requirements: ⎧⎪⎪⎪⎪⎪⎪ ⎨ ⎪⎪⎪⎪⎪⎪⎩ g(0) = 0, g (𝜅max) = 1, g′(0) = 1/𝜅max, g′ (𝜅max) = 0, The coefficients are uniquely determined when a cubic Hermite spline is used to solve the cubic equation. g(𝜅) = 𝛼0 + 𝛼1𝜅1 + 𝛼2𝜅2 + 𝛼3𝜅3. PLOS One https://doi.org/10.1371/journal.pone.0333846 October 14, 2025 23/ 30