A Recursive Algorithm for ARMAX Model Identification in Closed Loop

The joint problem of the recursive estimation of an optimal predictor for the closed-loop system and the unbiased parameter estimation of an ARMAX plant model in closed-loop operation is considered. A special reparameterized optimal predictor for the closed-loop is introduced. This allows a parameter estimation algorithm for the plant model to be derived which is globally asymptotically stable in a deterministic environment and gives asymptotically unbiased parameters estimates under richness conditions.


Published in:
IEEE Transactions on Automatic Control, 44, 4, 840-843
Year:
1999
Laboratories:




 Record created 2007-09-21, last modified 2018-10-01

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