<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Stabilizing embedded MPC with computational complexity guarantees"^^ . "This paper describes a model predictive control (MPC) approach for discrete-time linear systems with hard constraints on control and state variables. The finite-horizon optimal control problem is formulated as a quadratic program (QP), and solved using a recently proposed dual fast gradient-projection method. More precisely, in a finite number of iterations of the mentioned optimization algorithm, a solution with bounded levels of infeasibility and suboptimality is determined for an alternative problem. This solution is shown to be a feasible suboptimal solution for the original problem, leading to exponential stability of the closed-loop system. The proposed strategy is particularly useful in embedded control applications, for which real-time constraints and limited computing resources can impose tight bounds on the possible number of iterations that can be performed within the scheduled sampling time."^^ . "2013-07" . . "IEEE"^^ . . "IEEE"^^ . . . . . . . . . . . . . . "Alberto"^^ . "Bemporad"^^ . "Alberto Bemporad"^^ . . "Panagiotis"^^ . "Patrinos"^^ . "Panagiotis Patrinos"^^ . . "Matteo"^^ . "Rubagotti"^^ . "Matteo Rubagotti"^^ . . . . "Control Conference (ECC), 2013 European"^^ . . . . . "HTML Summary of #2176 \n\nStabilizing embedded MPC with computational complexity guarantees\n\n" . "text/html" . . . "TJ Mechanical engineering and machinery"@en . .