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A new recursive identification algorithm for singularity free adaptive control

✍ Scribed by M. Prandini; M.C. Campi

Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
99 KB
Volume
34
Category
Article
ISSN
0167-6911

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✦ Synopsis

Reportedly, guaranteeing the controllability of the estimated system is a crucial problem in adaptive control. In this paper, we introduce a least-squares-based identiΓΏcation algorithm for stochastic SISO systems, which secures the uniform controllability of the estimated system and presents closed-loop identiΓΏcation properties similar to those of the least-squares algorithm. The proposed algorithm is recursive and, therefore, easily implementable. Its use, however, is conΓΏned to cases in which the parameter uncertainly is highly structured.

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