Adaptive real-time control of a Christmas tree using a novel signalprocessing approach
Hu, J.
Wu, H.R.
Chou, C.T.
Verhaegen, M.
Westwick, D.
Nijsse, G.
Sch. of Comput. Sci. & Software Eng., Monash Univ., Clayton, Vic.;
This paper appears in: American Control Conference, 1999. Proceedings of the 1999
Publication Date: 1999
Volume: 4,
On page(s): 2526-2530 vol.4
Meeting Date: 06/02/1999 - 06/04/1999
Location: San Diego, CA, USA
ISBN: 0-7803-4990-3
References Cited: 11
INSPEC Accession Number: 6382318
Digital Object Identifier: 10.1109/ACC.1999.786510
Current Version Published: 2002-08-06
Abstract
The LMS algorithm forms the core of a number of adaptive control
schemes. It has on one hand provided certain degree of robustness to
these algorithms but on the other hand its convergence rate is
notoriously slow. We propose a method to initialize the LMS algorithm
which dramatically shortens its adaptation period. We also prove that
under certain condition this initialization can be computed without
explicit knowledge of either the reference or noise spectrum. Although
the work is illustrated using the filtered-X scheme, this idea can also
be applied to other similar schemes. Two successful experiments starting
from black-box identification to real-time control have verified the
effectiveness of this idea
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