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Active Disturbance Cancellation

  • Kartonierter Einband
  • 236 Seiten
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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.

Autorentext
Dr. John Canfield received his B.S., M.S. and Ph.D. in Electrical Engineering degrees from the University of New Hampshire. His doctoral research was in the field of nonlinear control systems with an emphasis on neural networks. He is currently a Design Section Leader at Linear Technology Corporation.

Produktinformationen

Titel: Active Disturbance Cancellation
Untertitel: In Nonlinear Dynamical SystemsUsing Neural Networks
Autor:
EAN: 9783639120936
ISBN: 3639120930
Format: Kartonierter Einband
Anzahl Seiten: 236
Gewicht: 368g
Größe: H220mm x B150mm x T14mm
Veröffentlichung: 01.02.2009
Jahr: 2009

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