Model Reduction for Linear and Nonlinear Control Systems
Krener, Arthur J.
MetadataShow full item record
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.
Decision and Control, 2006 45th IEEE Conference onThe article of record may be found at http://dx.doi.org/10.1109/CDC.2006.376870
RightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
Showing items related by title, author, creator and subject.
DeSha, Ernest Larry (Monterey, California; Naval Postgraduate School, 1970-09);The proposed greater reliance upon airlifting military forces demands that cargo loading time be minimized while utilization of aircraft cargo compartment space is maximized. Two loading algorithms have been developed ...
Gomori, Michael Andrew (1985-12);Filmwise condensation of steam on externally-finned tubes is a very complex process. Recent experiments have shown that enhancement ratios (ratio of steam-side heat-transfer coefficient to that of a smooth tube having ...
Walter, Jon Curtis; Warren, Patrick Theron (Monterey, California. Naval Postgraduate School, 1992-09);This work involves integrating the Army's existing combat modeling tool, JANUS, with the real-time three-dimensional graphics display offered by NPSNET. The development of a portable software package that can create a ...