A recently introduced new class of multi-agent transportation planning is considered.
Several agents have to cooperate in order to transfer a passive agent from its initial configuration
to a goal configuration. Docking events refer to discrete decisions, whereas the individual agents
are governed by nonlinear continuous dynamics. Modeling this problem in a hybrid optimal
control framework allows computing a solution using a centralized, hierarchical optimization
algorithm. Relatively well performing solutions can be found with much lower computational
time by decoupling the discrete-event level from the continuous processes. This is accomplished
by introducing a feedback controller based on a consensus protocol into the hierarchical
optimization structure. The scalability and optimality of this approach is examined for varying
information topologies in the consensus protocol and controller gains
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A recently introduced new class of multi-agent transportation planning is considered.
Several agents have to cooperate in order to transfer a passive agent from its initial configuration
to a goal configuration. Docking events refer to discrete decisions, whereas the individual agents
are governed by nonlinear continuous dynamics. Modeling this problem in a hybrid optimal
control framework allows computing a solution using a centralized, hierarchical optimization
algorithm. Relatively well pe...
»