Adaptive identification algorithms for time-varying parameters

Koichi Hidaka, Hiromitsu Ohmori, Akira Sano

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


Adaptive identification of rapidly changing parameters is essentially needed in adaptive signal processing and adaptive control. New accelerated LMS and RLS type of adaptive algorithms are given from a stand-point that any parameter changes can be approximately expressed by a finite degree of polynomial function of time. The proposed adaptive algorithm involves ordinary LMS and RLS algorithms as special cases, which are based on the assumption that the parameters are constant but unknown. A sufficient condition for assuring stability of the accelerated adaptive algorithm is clarified based on the small gain and passivity theorems. The effectiveness is examined in numerical simulations and experiments in which adaptive equalization for fading channel and adaptive direction-of-arrival (DOA) tracking experiments.

Original languageEnglish
Pages (from-to)4308-4313
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
Publication statusPublished - 2001

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modelling and Simulation
  • Control and Optimization


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