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Proceedings Paper

Development of model-based multispectral controllers for smart material systems
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Paper Abstract

The primary objective of this research is to develop novel model-based multispectral controllers for smart material systems in order to deal with sidebands and higher harmonics and with several frequency components simultaneously. Based on the filtered-X least mean square algorithm, it will be integrated with a nonlinear model-based controller called model predictive sliding mode control. Their performance will be verified in simulation and with various applications such as helicopter cabin noise reduction. This research will improve active vibration and noise control systems used in engineering structures and vehicles by effectively dealing with a wide range of multispectral signals.

Paper Details

Date Published: 3 April 2009
PDF: 12 pages
Proc. SPIE 7286, Modeling, Signal Processing, and Control for Smart Structures 2009, 72860D (3 April 2009); doi: 10.1117/12.816404
Show Author Affiliations
Byeongil Kim, Ohio State Univ. (United States)
Gregory N. Washington, Ohio State Univ. (United States)


Published in SPIE Proceedings Vol. 7286:
Modeling, Signal Processing, and Control for Smart Structures 2009
Douglas K. Lindner, Editor(s)

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