Connecting Identification and Robust Control: A New Challenge

Until recently identification theory had not focused upon delivering accurate uncertainty bounds around the estimated model. In addition, in adaptive control design, not much effort has been devoted to the effect of the controller on the quality of the identified model. In this paper, the interactions between identification and control design are illustrated, and a number of recent results is presented that aim at enhancing the synergy between these two fields.

[1]  Hartmut Logemann,et al.  Multivariable feedback design : J. M. Maciejowski , 1991, Autom..

[2]  Svante Gunnarsson.  Frequency Domain Aspects of Modeling and Control in Adaptive Systems , 1988 .

[3]  P. Ramadge,et al.  Discrete-time multivariable adaptive control , 1979 .

[4]  Lennart Ljung,et al.  System Identification: Theory for the User , 1987 .

[5]  Graham C. Goodwin,et al.  Bias and Variance Distribution in Transfer Function Estimation , 1991 .

[6]  G. Goodwin,et al.  Optimal model order selection and estimation of model uncertainty for identification with finite data , 1991, [1991] Proceedings of the 30th IEEE Conference on Decision and Control.

[7]  Edoardo Mosca,et al.  Adaptive optimal control: The thinking man's gpc, R. R. Bitmead, M. Gevers and V. Wertz, Prentice-Hall, Englewood Cliffs, NJ, 1990, ISBN 0-13-013277-2, E32.95, xi + 244 pp. , 1991 .

[8]  G. Goodwin,et al.  A stochastic embedding approach for quantifying uncertainty in the estimation of restricted complexity models , 1989 .

[9]  Jan Willem Polderman.  Adaptive control and identification: conflict or conflux? , 1987 .

[10]  Graham Goodwin,et al.  Discrete time multivariable adaptive control , 1979, 1979 18th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.

[11]  Woei Lin,et al.  Will the self-tuning approach work for general cost criteria? , 1985 .

[12]  Brian D. O. Anderson,et al.  Stability of adaptive systems: passivity and averaging analysis , 1986 .