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 6. Closed–loop control, measurements design and assessment of policies pertaining to climate change adaptation. https://doi.org/10.1371/journal.pone.0333846.g006 on engineering, mathematics, and environmental sciences to develop effective mechanisms for mitigating climate change at a global scale. The primary contributions can be outlined as follows: • Introduces a novel fuzzy logic–based mathematical representation of the carbon–climate system to formalize the closed–loop control problem. • Develops a segmented mathematical representation of the global carbon system that high- lights characteristics such as dynamical stability, demonstrating through simulations that fuzzy logic rules can effectively regulate fossil fuel demand and carbon transfer to geological reserves like the deep sea. • Derives a mathematical decision-making guideline from system demand and internal dynamics, enabling adaptive carbon cycle management as an alternative to long–term scenario–based recommendations, with policy decisions supported on shorter time scales. The subsequent part of this article is organized as follows. Sect 2 delves into the principles of Control Theory in the context of Climate Change Mitigation. Our mathematical depiction of the Global Carbon Climate Model (GCCM) is outlined in Sect 3. Sect 4 elaborates on a novel fuzzy model for the Global Climate Model (GCM). The interconnected control methodology for the Global Climate System (GCS) is expounded in Sect 5. Lastly, the ultimate findings are

disclosed in Sect 6. PLOS One https://doi.org/10.1371/journal.pone.0333846 October 14, 2025 7/ 30