Talk Abstract:
Model Reduction and Assessment for Nonlinear Networked Systems
Linda
R. Petzold
Department of Mechanical and Environmental Engineering
Engr. 2 Bldg., Room 2355
University of California, Santa Barbara
Santa Barbara, CA 93106-5070
petzold@engineering.ucsb.edu
Reduced models are an important tool for simulation and control
of large-scale nonlinear dynamical systems. We outline some
issues in determining an effective reduced model, and give examples
of model reduction techniques applied to nonlinear networked
systems from chemical kinetics and from power systems. For highly
nonlinear systems, the reduced model can be very data dependent.
We investigate several means of assessing the accuracy of a
reduced model over a range of data.
Material used during the talk
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to Decision Making under Uncertainty: Assessment of the Reliability
of Mathematical Models
1999-2000
Reactive Flow and Transport Phenomena
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