DocumentCode :
2749622
Title :
An LMI formulation for the estimation-based approach to the design of adaptive filters
Author :
Sayyarrodsari, Bijan ; How, Jonathan P. ; Hassibi, Babak ; Carrier, Alain
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA, USA
Volume :
1
fYear :
1998
fDate :
1998
Firstpage :
158
Abstract :
We present a linear matrix inequalities (LMI) formulation for the estimation-based approach to the design of adaptive FIR and IIR filters. LMI provide a convenient framework for the synthesis of multiobjective (H2/H) control problems. Therefore, the H disturbance attenuation criterion in the estimation-based adaptive algorithm can be easily augmented with the appropriate H2 performance constraints. The question of internal stability of the overall system is also directly addressed as a by-product of the Lyapunov-based nature of the LMI formulation. We use an active noise cancellation scenario to study the main features of the proposed LMI solution
Keywords :
FIR filters; H control; IIR filters; Lyapunov methods; active noise control; adaptive filters; filtering theory; matrix algebra; parameter estimation; FIR filters; H control; IIR filters; Lyapunov method; active noise cancellation; adaptive filters; linear matrix inequality; parameter estimation; Adaptive algorithm; Adaptive filters; Control system synthesis; Finite impulse response filter; IIR filters; Linear matrix inequalities; Noise cancellation; Riccati equations; Space technology; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location :
Tampa, FL
ISSN :
0191-2216
Print_ISBN :
0-7803-4394-8
Type :
conf
DOI :
10.1109/CDC.1998.760610
Filename :
760610
Link To Document :
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