@inproceedings{eprints1220,
         address = {Budapest, Hungary},
          author = {Matteo Rubagotti and Davide Martino Raimondo and Antonella Ferrara and Lalo Magni},
           month = {August},
            year = {2009},
           title = {Robust model predictive control of continuous-time sampled-data nonlinear systems with integral sliding mode},
       booktitle = {European Control Conference},
             url = {http://eprints.imtlucca.it/1220/},
        abstract = {A hierarchical Nonlinear Model Predictive Control (NMPC) scheme with guaranteed Input-to-State-practical- Stability (ISpS) is proposed. The controller is formed by an Integral Sliding Mode (ISM) controller and a NMPC one. The ISM, relying on the knowledge of the nominal continuous-time model of the system and of the piecewise constant control signal generated by the NMPC produces a control action aimed at reducing the difference between the dynamics of the nominal closed-loop system and the actual evolution of the state. The NMPC in this way can be designed based on a system with reduced uncertainty. In order to prove the stability of the overall control scheme, some general Regional ISpS results for continuous-time systems are proven.}
}