Id. Landau et al., Recursive identification algorithms for continuous-time nonlinear plants operating in closed loop, AUTOMATICA, 37(3), 2001, pp. 469-475
A family of algorithms For the identification of continuous-time nonlinear
plants operating in closed loop is presented. An adjustable closed-loop out
put error-type predictor parameterized in terms of the existing controller
and the estimated plant model is used. The algorithms are derived from stab
ility considerations in the absence of noise and assuming that the plant mo
del is in the model set. Some convergence results based on passivity concep
ts are presented. Subsequently, the algorithms are analyzed in the presence
of noise and when the plant model is not in the model set. (C) 2001 Elsevi
er Science Ltd. All rights reserved.