Low-Order Models for Dynamic Systems.
NAVAL POSTGRADUATE SCHOOL MONTEREY CALIF
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An investigation directed at finding the best low-order model which approximates a given high-order system is presented. New insight is gained into the cost paid for the simplicity of the model and in the accuracy of the transient response of the model related to the magnitude of a cost function. The problem is solved in the time domain by finding the best pole and zero locations of the model which minimize a defined error criterion. The computer is used to estimate these parameters, via a parameter minimizating program. A number of examples are included. Author
- Numerical Mathematics