A COMPUTATIONAL ANALYSIS OF A BILEVEL DECOMPOSITION FOR MPC OF RESOURCE CONSTRAINED DYNAMIC SYSTEMS

This paper presents a bilevel decomposition approach to a model predictive control of resource constrained dynamic systems. The proposed approach yields a distributed solution that converges to the same optimum that would be obtained by a centralized controller. It is also showed that this decomposition enables the use of multi-core or distributed architectures. Computational analysis of experiments of synthetics problems are reported and discussed, showing the capacity of the bilevel approach in combination with parallel computation.