M. Zele et D. Juricic, MODEL VALIDATION IN ITERATIVE IDENTIFICATION AND CONTROLLER-DESIGN, Mathematics and computers in simulation, 46(5-6), 1998, pp. 575-583
The paper deals with the validation of model purposivity in iterative
identification and controller design. It is known that when closed loo
p requirements are too high, the model resulting from the iterative pr
ocedure might conflict with the prior knowledge about the process. How
ever, in some cases violated plausibility of the identified models doe
s not necessarily imply its violated purposivity. Therefore, it is a m
atter of practical relevance to have a confident indication of whether
the given model will result in a stable closed loop design or not. If
not, the iterative identification and controller design should be sto
pped, i.e. more appropriate model structures should be chosen. In the
paper a stochastic robustness measure is proposed which relies on the
estimated model error obtainable by the stochastic embedding technique
. In the simulated example we consider three models resulting from ite
rative procedure that have different qualities regarding plausibility
acid purposivity. It is shown that the stochastic robustness measure p
rovides a reliable estimate of the designed loop stability. (C) 1998 I
MACS/Elsevier Science B.V.