Title :
Optimal asymptotic identification under bounded disturbances
Author :
Tse, David N C ; Dahleh, Munther A. ; Tsitsiklis, John N.
Author_Institution :
Lab. for Inf. & Decision Syst., MIT, Cambridge, MA, USA
Abstract :
A general framework for analyzing asymptotically optimal algorithms and experiment designs for worst-case identification is described. The authors develop the framework and state the general results. These are then applied to analyze three specific identification problems of stable and unstable plants
Keywords :
closed loop systems; identification; bounded disturbances; closed loop systems; optimal asymptotic identification; stable plants; unstable plants; worst-case identification; Algorithm design and analysis; Design methodology; Error correction; Filters; Information analysis; Laboratories; Measurement uncertainty; Performance evaluation; Robust control; Robustness;
Conference_Titel :
Decision and Control, 1991., Proceedings of the 30th IEEE Conference on
Conference_Location :
Brighton
Print_ISBN :
0-7803-0450-0
DOI :
10.1109/CDC.1991.261384
