论文标题
联盟控制模型：一种基于模型谓语控制的动态资源分布方法
Coalition Control Model: A Dynamic Resource Distribution Method Based on Model Predicative Control
论文作者
论文摘要
在当前社会中，资源分配的优化一直是一个具有挑战性的话题。为了探索该主题，我们基于模型预测控制（MPC）开发了一个联盟控制模型（CCM），并使用带有线性参数的捕捞模型对其进行测试。捕鱼模型的重点是在某些地区分发捕捞舰队的问题，以最大化使用详尽或启发式搜索捕获的鱼类。我们的方法引入了一种通信机制，以允许捕捞舰队合并或分裂，然后可以自动组建新的联盟。使联盟结构稳定下来，该系统通过纳什 - 纳什式过程达到平衡状态。我们对假设捕鱼模型的实验表明，CCM可以在复杂方案中动态分配有限的资源。
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.
