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Model Reduction for Linear and Nonlinear Control Systems

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1 Author(s)
Arthur J. Krener ; Professor, U.C. Davis and Naval Postgraduate School

As the world grows more complicated so do control systems. In can be very hard to simulate and/or to develop intuition for a complex system described by a high dimensional model so tools have been developed to approximate a high dimensional model by a lower dimensional one. One goal of such an approximation could be that the input to output map of the lower dimensional model should be a good approximation to that of higher dimensional one. Another goal could be that a controller designed for the lower dimensional model should perform satisfactorily for the higher dimensional one.

Published in:

Proceedings of the 45th IEEE Conference on Decision and Control

Date of Conference:

13-15 Dec. 2006