Lall, Sanjay and Marsden, Jerrold E. and Glavaški, Sonja (2002) A subspace approach to balanced truncation for model reduction of nonlinear control systems. International Journal of Robust and Nonlinear Control, 12 (6). pp. 519-535. ISSN 1049-8923 http://resolver.caltech.edu/CaltechAUTHORS:20100823-072914231
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In this paper, we introduce a new method of model reduction for nonlinear control systems. Our approach is to construct an approximately balanced realization. The method requires only standard matrix computations, and we show that when it is applied to linear systems it results in the usual balanced truncation. For nonlinear systems, the method makes use of data from either simulation or experiment to identify the dynamics relevant to the input}output map of the system. An important feature of this approach is that the resulting reduced-order model is nonlinear, and has inputs and outputs suitable for control. We perform an example reduction for a nonlinear mechanical system.
|Additional Information:||© 2002 John Wiley & Sons, Ltd. Received 7 September 2000. Revised 7 January 2001. Accepted 2 July 2001. Published online 18 February 2002. We thank John Doyle, Petr Krysl, Peter Schröder, and Clancy Rowley for helpful comments and inspiration. This research was partially supported by Contract/grant sponsor: AFOSR MURI; contract/grant number: F49620-96-1-0471 Contract/grant sponsor: EPRI/DOD CIN/SI; contract/grant number: W08333-06 Contract/grant sponsor: NSF/DARPA OPAAL; contract/grant number: DMS-9874082.|
|Subject Keywords:||balanced truncation; model reduction; Karhunen}Loève expansion; total least-squares; Hankel norm|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Ruth Sustaita|
|Deposited On:||01 Sep 2010 21:05|
|Last Modified:||26 Dec 2012 12:20|
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