41 research outputs found
Decomposition principle in model predictive control for linear systems with bounded disturbances
10.1016/j.automatica.2009.04.012Automatica4581917-1922ATCA
Verifying stability of approximate explicit MPC
Several authors have proposed algorithms for approximate explicit MPC [1],[2],[3]. These algorithms have in common that they develop a stability criterion for approximate explicit MPC that require the approximate cost function to be within a certain distance from the optimal cost function. In this paper, stability is instead ascertained by considering only the cost function of the approximate MPC. If a region of the state space is found where the cost function is not decreasing, this indicates that an improved approximation (to the optimal control) is required in that region. If the approximate cost function is decreasing everywhere, no further refinement of the approximate MPC is necessary, since stability is guaranteed. ©2009 IEEE
A bilevel optimization approach for D-invariant set design
International audienc
A bilevel optimization approach for D-invariant set design
International audienc