Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
697864 | Automatica | 2007 | 7 Pages |
Abstract
Control of nonlinear noisy systems affected by large uncertainties is approached via the introduction of a supervisor which, whenever needed, switches on, in feedback to the plant, a controller selected from a finite set of precomputed controllers. A Lyapunov-based falsification criterion allows one to ensure robust stability in the presence of uncertain constant parameters and exogenous bounded disturbances without a priori information on the system. Applicability of the method is illustrated through simulations on an automatic drug delivery system for anesthesia.
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
David Angeli, Claudia Manuelli, Edoardo Mosca,