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 4. Conventional description of a closed-loop controller for controlling dynamical systems and their counterpart strategies in managing carbon climate systems. https://doi.org/10.1371/journal.pone.0333846.g004 Fig 5. Policies for open-loop control and climate change mitigation for controlling dynamical systems and their counterpart strategies in managing carbon climate systems. https://doi.org/10.1371/journal.pone.0333846.g005 feedback heavily rely on scenario–driven analyses using long–term emission pathways to fore- cast climate impacts [25], and their results significantly shape climate mitigation strategies aligned with particular scenario trajectories [26]. Control theory plays an essential role in climate change mitigation, providing a framework for analyzing and managing the complex systems that influence Earth’s climate. Encompass- ing a range of methodologies and techniques, it enables the regulation of key drivers such as greenhouse gas emissions, deforestation, and industrial pollution. By applying control princi- ples, policymakers and scientists can design strategies and interventions that guide environ- mental systems toward sustainability and resilience. This multidisciplinary approach draws PLOS One https://doi.org/10.1371/journal.pone.0333846 October 14, 2025 6/ 30