Minkowski addition of polytopes: computational complexity and applications to Gro¨bner bases
SIAM Journal on Discrete Mathematics
Linear time approximation of 3D convex polytopes
Computational Geometry: Theory and Applications
An Algorithm for Approximate Multiparametric Convex Programming
Computational Optimization and Applications
Set-Theoretic Methods in Control
Set-Theoretic Methods in Control
Survey Constrained model predictive control: Stability and optimality
Automatica (Journal of IFAC)
The explicit linear quadratic regulator for constrained systems
Automatica (Journal of IFAC)
Brief An algorithm for multi-parametric quadratic programming and explicit MPC solutions
Automatica (Journal of IFAC)
Control with constraints for linear stationary systems: An interpolation approach
Automation and Remote Control
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In this paper we are interested in the computation of feasible sets for linear model predictive control techniques, based on set relations and not on the conventional orthogonal projection. Further, the problem of computing suitable inner approximations of the feasible sets is considered. Such approximations are characterized by simpler polytopic representations, and preserve essential properties as convexity, positive invariance, inclusion of the set of expected initial states.