@incollection{eprints564,
       booktitle = {Decision and Control Conference},
       publisher = {IEEE},
         journal = {Proc. 43th IEEE Conf. on Decision and Control},
          author = {David Mu{\~n}oz de la Pe{\~n}a and Teodoro Alamo and Alberto Bemporad and Eduardo F. Camacho},
           title = {A dynamic programming approach for determining the explicit solution of MPC controllers},
            year = {2004},
          volume = {3},
           month = {December},
         address = {14th-17th December 2004},
           pages = {2479--2484},
        keywords = {dynamic programming approach; explicit solution; linear MPC controllers; linear systems; model predictive control; multi-parametric methods; multiparametric programming; discrete time systems; dynamic programming; linear systems; predictive control},
             url = {http://eprints.imtlucca.it/564/},
        abstract = {Recently multi-parametric methods have been applied with success to model predictive control (MPC) schemes. In this paper we propose a novel method for linear systems to obtain the explicit description of the control law that is based on dynamic programming and exploits the structure of the MPC formulation.}
}