Abstract
Mathematical models for “real-world” processes often appear to be as complicated and cumbersome as the processes themselves. Indeed, an adequate mathematical model must reflect at least a majority of the behavioral subtleties of the modeled process. If a model is to be useful, however, it must be computationally approachable. The abstract Definitions 6.1 and 6.2 provide a coherent, mathematically attractive class of models for a broad range of real-world processes; still, unless they can be connected firmly with “honest” equations involving numbers and time functions, they are nothing but arcane, somewhat creaky pieces of theoretical machinery. It is the goal of the present section to forge such a connection.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer-Verlag New York Inc.
About this chapter
Cite this chapter
Delchamps, D.F. (1998). Realizations. In: State Space and Input-Output Linear Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3816-4_8
Download citation
DOI: https://doi.org/10.1007/978-1-4612-3816-4_8
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-8364-5
Online ISBN: 978-1-4612-3816-4
eBook Packages: Springer Book Archive