Kniha Estimation-Based Adaptive Filtering and Control Bijan Sayyarrodsari

Estimation-Based Adaptive Filtering and Control

A systematic approach to adaptive filter design

Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: Skladem u dodavatele
Odesíláme za 5-8 dnů
1 339
Adaptive Systems have been used in a wide range of applications for almost four decades. Examples in...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2010
Stránek
180
EAN
9783838325170
Enbook ID
07085744
Hmotnost
284
Rozměry
150 x 220 x 11

Kompletní popis

Adaptive Systems have been used in a wide range of applications for almost four decades. Examples include adaptive equalization, adaptive noise-cancellation, and adaptive control. The design of adaptive filters/controllers is a difficult nonlinear problem for which good systematic synthesis procedures have proven a difficult challenge. Most commonly-used design methods (e.g. FxLMS) are adhoc in nature and do not provide guaranteed performance level. Systematic analysis of the commonly used adaptive algorithms is also difficult. This work presents an estimation-based synthesis and analysis procedure for adaptive filter design. This work formulates the adaptive filtering/control problem as an H estimation problem, and updates the adaptive weight vector according to the state estimates provided by an H estimator. The estimator is proved to be always feasible. Furthermore, the special structure of the problem is used to reduce the usual Riccati recursion for state estimate update to a simpler Lyapunov recursion. The resulting adaptive algorithm has provable performance with simple update rule, and readily extends to multi-channel systems and problems with feedback contamination.

Mohlo by vás zajímat

Meet the Artists

Mark Sanders
694
199
380

On Top of the World

Fran Manushkin
454

Drug Nation

Martin Plant
1 863
530
579
391
299

Zákaznicí kteří koupili tuto knihu koupili také

Etnografi El Kitabi

Amanda Coffey
2 079

A leszálló éj napja

Samantha Shannon
481

solitudine del K2

Rocco Griesi
381
377
125

Kursthemen Deutsch

Reinhard Lindenhahn
373