Research on optimal control modeling for fuel cells has been reported, with a focus on feedback linearization and adaptive sliding mode control. However, other studies appear to be exploring different control strategies, including model predictive control and multiagent reinforcement learning, for various applications such as boiler turbine systems and unmanned aerial vehicles. The specific outcomes and connections between these studies are unclear.