Distributed model predictive control (DMPC) schemes have become a popular choice for
networked control problems. Under this approach, local controllers use a model to predict its
subsystem behavior during a certain horizon so as to find the sequence of inputs that
optimizes its evolution according to a given criterion. Some convenient features of this
method are the explicit handling of constraints and the exchange of information between
controllers to coordinate their actuation and minimize undesired mutual interactions …