Ringh, AxelHaasler, IsabelChen, YongxinKarlsson, Johan2023-08-142023-08-142023-08-142023-01-0110.1109/LCSYS.2023.3289050https://infoscience.epfl.ch/handle/20.500.14299/199833WOS:001033525300008In this letter we consider mean field type control problems with multiple species that have different dynamics. We formulate the discretized problem using a new type of entropy-regularized multimarginal optimal transport problems where the cost is a decomposable structured tensor. A novel algorithm for solving such problems is derived, using this structure and leveraging recent results in entropy-regularized optimal transport. The algorithm is then demonstrated on a numerical example in robot coordination problem for search and rescue, where three different types of robots are used to cover a given area at minimal cost.Automation & Control SystemsAutomation & Control Systemscomputational methodsfluid flow systemslarge-scale systemsoptimizationstochastic optimal controlmarginal optimal transportgamesmodelstext::journal::journal article::research article