41 research outputs found
Parameter-dependent PWQ Lyapunov function stability criteria for uncertain piecewise linear systems
Effects of breeding habitat and field margins on the reproductive performance of Skylarks (Alauda arvensis) on intensive farmland
Invertebrates in field margins: taxonomic group diversity and functional group abundance in relation to age
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