Title :
Stability and performance verification before switching in new controllers using closed-loop data
Author :
Dehghani, Arvin ; Anderson, Brian D O
Author_Institution :
Res. Sch. of Inf. Sci. & Eng., Australian Nat. Univ., Canberra, ACT, Australia
Abstract :
Consider an interconnection of an unknown or partially known linear plant and a known linear stabilizing controller, and assume that some knowledge of the closed-loop system is available. Suppose, on the basis of that knowledge, the use of a new controller appears attractive. We provide analysis and introduce novel tests utilizing a limited amount of experimental and possibly noisy data obtained from the existing closed-loop for verifying that the introduction of a proposed new controller will not only stabilize the plant but also provide assurance for the closed-loop performance before the insertion of a new controller. The importance of this capability arises in iterative identification and control algorithms, multiple-model adaptive control, and multi-controller adaptive switching.
Keywords :
adaptive control; closed loop systems; iterative methods; linear systems; stability; closed-loop system; iterative identification algorithm; linear plant; linear systems; multicontroller adaptive switching; multiple-model adaptive control; performance verification; stability; Adaptation model; Control systems; Frequency response; Stability criteria; Steady-state; Transfer functions;
Conference_Titel :
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-7745-6
DOI :
10.1109/CDC.2010.5717406