  Optimization of resource distribution has been a challenging topic in current
society. To explore this topic, we develop a Coalition Control Model(CCM) based
on the Model Predictive Control(MPC) and test it using a fishing model with
linear parameters. The fishing model focuses on the problem of distributing
fishing fleets in certain regions to maximize fish caught using either
exhaustive or heuristic search. Our method introduces a communication mechanism
to allow fishing fleets to merge or split, after which new coalitions can be
automatically formed. Having the coalition structure stabilized, the system
reaches the equilibrium state through the Nash-Bargaining process. Our
experiments on the hypothetical fishing model demonstrated that the CCM can
dynamically distribute limited resources in complex scenarios.
