English
Input design in worst-case system identification using binary sensors
Marco Casini - Universitą di Siena
Andrea Garulli, Universitą di Siena
Antonio Vicino, Universitą di Siena
Antonio Vicino, Universitą di Siena
(in lingua inglese)
System identification based on binary-valued observations is an intriguing problem, due to the remarkable information reduction caused by the binary sensor. When a deterministic set-membership setting is considered, problems like optimal input design turn out to be even more challenging. The technical note has provided new results for worst-case identification of systems equipped with binary sensors. The exact solution of the optimal input design problem for identification of gains allows one to devise an effective input design strategy for identification of general FIR systems.
Leggi tuttoFonte: Pubblicazione IEEE transactions on automatic control, 2011
Settori: Automazione industriale, Sensoristica
Parole chiave: Sensoristica
