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Just in time models for dynamical systems

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3 Author(s)
Stenman, A. ; Dept. of Electr. Eng., Linkoping Univ., Sweden ; Gustafsson, F. ; Ljung, L.

The concept of just in time models is introduced for models that are not estimated until they are really needed. The idea is to store all observations of the process in a database, and then estimate a local model at the current working point. The variance/bias tradeoff is optimized locally by adapting the number of data and their relative weighting. This is in contrast to general nonlinear black-box models, like neural networks, where the performance is optimized globally

Published in:

Decision and Control, 1996., Proceedings of the 35th IEEE Conference on  (Volume:1 )

Date of Conference:

11-13 Dec 1996