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Active Disturbance Cancellation

  • Kartonierter Einband
  • 236 Seiten
This book begins with a brief background on the field of active disturbance cancellation with a particular focus on the challenges... Weiterlesen
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Beschreibung

This book begins with a brief background on the field of active disturbance cancellation with a particular focus on the challenges of acoustic cancellation environments. Traditional linear feedforward and feedback approaches are discussed and a novel method for use of a time delay CMAC neural network for disturbance cancellation in nonlinear dynamical systems is presented. Appropriate modifications to the CMAC training algorithm are derived which allow convergent adaptation for a variety of secondary signal paths. Analytical bounds on the maximum learning gain are presented which guarantee convergence of the algorithm and provide insight into the necessary reduction in learning gain as a function of the system parameters. Effectiveness of the algorithm is evaluated through mathematical analysis, simulation studies and experimental application of the technique on an acoustic duct laboratory model.

Produktinformationen

Titel: Active Disturbance Cancellation
Untertitel: In Nonlinear Dynamical Systems Using Neural Networks
Autor:
EAN: 9783639120936
ISBN: 978-3-639-12093-6
Format: Kartonierter Einband
Genre: Technik
Anzahl Seiten: 236
Gewicht: g
Größe: H220mm x B220mm
Jahr: 2009
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