Robust model predictive control based on linear programming

We use linear criterion instead of standard quadratic criterion to improve the computational performance. The infinite horizon cost and terminal constraint is constructed to grantee the stability. We formulate the proposed RMPC which solves a linear program at each time, so a computation advantage is achieved without losing the performance even when the model uncertainty exists.