Title :
Verifying stabilizing controllers via closed-loop noisy data: MIMO case
Author :
Dehghani, Arvin ; Anderson, Brian D O ; Lanzon, Alexander ; Lecchini-Visintini, Andrea
Author_Institution :
Australian Nat. Univ., Canberra
Abstract :
This article introduces novel tests which utilize a limited amount of experimental and possibly noisy data obtained from a stable closed-loop system, i.e. an interconnection of an existing known stabilizing controller and an unknown plant, to infer if the introduction of a prospective controller will stabilize the unknown plant. This extends our earlier results to include the MIMO systems.
Keywords :
MIMO systems; closed loop systems; stability; MIMO; closed-loop noisy data; closed-loop system; Adaptive control; Control design; Control systems; Frequency estimation; Iterative algorithms; Iterative methods; MIMO; Stability criteria; System testing; Transfer functions; Iterative Identification and Control; Multiple Model Adaptive Control; Robust Control;
Conference_Titel :
Decision and Control, 2007 46th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-1497-0
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2007.4434568