Title :
H2 iterative model refinement and control robustness enhancement
Author :
Zang, Zhuquan ; Bitmead, Robert R. ; GEVERS, Michel
Author_Institution :
Dept. of Syst. Eng., Australian Nat. Univ., Canberra, ACT, Australia
Abstract :
Many practical applications of control system design based on input-output measurements permit the repeated application of a system identification procedure operating on closed-loop data together with successive refinement of the designed controller. A paradigm is developed for such an iterative design. The key to the procedure is to account for evaluated modeling error in the control design and, equally, to allow for the requirements of the closed-loop controller in performing the identification. With an H2 control problem, this is achieved by frequency weighting the linear quadratic control criterion and by filtering the identifier signals in a logical fashion
Keywords :
closed loop systems; control system synthesis; identification; optimal control; H2 control; H2 iterative model refinement; closed-loop controller; closed-loop data; control robustness enhancement; control system design; evaluated modeling error; frequency weighting; identification; input-output measurements; linear quadratic control criterion; Control design; Control systems; Error correction; Filtering; Force control; Frequency; Nonlinear filters; Performance evaluation; Predictive models; Robust control; Signal design; Signal processing; System identification; Transfer functions; White noise;
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.1991.261306
