This approach enables one to implement a robust MPC controller in real time for systems with polytopic uncertainty, ensuring robust constraint satisfaction and ...

Abstract—Many robust Model Predictive Control (MPC) schemes require the on-line solution of a convex program, which can be computationally demanding.

Abstract: Many robust model predictive control (MPC) schemes require the online solution of a computationally demanding convex program.

Abstract—Many robust model predictive control (MPC) schemes require the online solution of a computationally demanding convex program. For.

This approach enables one to implement a robust MPC controller in real time for systems with polytopic uncertainty, ensuring robust constraint satisfaction and ...

This paper proposes a novel model predictive control (MPC) scheme based on multiobjective optimization. At each sampling time, the MPC control action is chosen ...

Jun 10, 2019 · Abstract—We propose an algorithm for generating explicit solutions of multiparametric mixed-integer convex programs.

By exploiting multiparametric programming techniques, explicit MPC computes the optimal control action off line as an “explicit” function of the state and ...

Robust explicit MPC based on approximate multi-parametric convex programming. A. Bemporad et al. An algorithm for approximate multiparametric convex programming ...

The explicit MPC controller is based on an orthogonal search tree structure of the state space partition and is designed by solving a min-max optimization ...