2012 · 19 citations · 19 references
A model predictive control (MPC) technique for tracking piecewise constant reference signals is presented. The controlled system is assumed to be linear, time invariant and subject to constraints on both inputs and states. In order to reject constant disturbances and to guarantee offset-free regulation also in presence of model/plant mismatch, the control loop is enlarged with integrators, and the system is described in “velocity form”. The tracked reference signal is regarded to as one of the optimization variables, so that feasibility is guaranteed also for unfeasible desired references. Stability results are given, and a simulation example is reported.
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Constrained model predictive control: Stability and optimality
D.Q. Mayne, James B. Rawlings, Christopher V. Rao et al. · Automatica · 2000 · 8.4K citations
Engineering, Model-based Control Technique, Process Control +4
Tutorial overview of model predictive control
James B. Rawlings · IEEE Control Systems · 2000 · 1.1K citations · Full text