A dynamic horizon distributed predictive control approach for temperature regulation in multi-zone buildings

This paper proposes a distributed predictive control strategy for building temperature regulation. The originality of the approach consists of using a dynamic prediction horizon MPC, allowing a more effective disturbances rejection. Then this idea is extended, for multizone temperature control in buildings, in a distributed manner, where each controller solves a local optimization problem using information about the expected behavior of the other local regulators. The effectiveness of the proposed approach is showed through different simulations.