Gevers, Michel
[UCL]
Ljung, L
Van den Hof, P
Asymptotic variance expressions are analyzed for models that are identified on the basis of closed-loop data. The considered methods comprise the classical 'direct' method. as well as the more recently developed indirect methods, employing coprime factorized models, dual Youla/Kucera parametrizations and the two-stage approach. The variance expressions are compared with the open-loop ituation, and evaluated in terms of their relevance for subsequent model-based control design. (C) 2001 Elsevier Science Ltd. All rights reserved.
Bibliographic reference |
Gevers, Michel ; Ljung, L ; Van den Hof, P. Asymptotic variance expressions for closed-loop identification.11th IFAC Symposium on System Identification (FUKUOKA(Japan), Jul 08-11, 1997). In: Automatica, Vol. 37, no. 5, p. 781-786 (2001) |
Permanent URL |
http://hdl.handle.net/2078.1/61990 |