DocumentCode :
1411481
Title :
A general theory of linear time-invariant adaptive feedforward systems with harmonic regressors
Author :
Bayard, David S.
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Volume :
45
Issue :
11
fYear :
2000
fDate :
11/1/2000 12:00:00 AM
Firstpage :
1983
Lastpage :
1996
Abstract :
Establishes necessary and sufficient conditions for an adaptive system with a harmonic regressor (i.e., a regressor comprised exclusively of sinusoidal signals) to admit an exact linear time-invariant (LTI) representation. These conditions are important because a large number of adaptive systems used in practice have sinusoidal regressors, and the stability and performance of such systems having LTI representations can be completely analyzed by well-known methods. The theory is extended to applications where the LTI conditions do not hold, in which case the harmonic adaptive system can be written as the parallel connection of a purely LTI subsystem and a linear time-varying (LTV) subsystem. An explicit upper bound is established on the induced two-norm of the LTV block, which allows systematic treatment using emerging robust control methods applicable to LTI systems with norm-bounded LTV perturbations.
Keywords :
adaptive signal processing; adaptive systems; asymptotic stability; feedforward; linear systems; robust control; time-varying systems; exact linear time-invariant representation; general theory; harmonic adaptive system; harmonic regressors; induced two-norm; linear time-invariant adaptive feedforward systems; linear time-varying subsystem; necessary and sufficient conditions; norm-bounded perturbations; sinusoidal signals; Adaptive signal processing; Adaptive systems; Feedforward systems; Noise cancellation; Performance analysis; Propulsion; Robust control; Robust stability; Stability analysis; Upper bound;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/9.887622
Filename :
887622
Link To Document :
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