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- W10887080 abstract "ABSTRACT Many of the systems which are studied in Bioengineering are multivariable and nonlinear and pose significant problems in modeling, analysis, and computer simulation. A class of finite state models with finite level time-sampled variables has been developed and is shown to be especially suitable for representing multi-input nonlinear systems when system behaviour is complex and quantitative information about the system is limited. Both verbal logic and quantitative information and constraints are easily included in the model because of the close relationship between the finite state descriptions and propositional calculus. Because of the versatility, economical description and easy simulation of the finite state model, the technique is considered to be of particular value in bioengineering modeling problems. Structures of both static and dynamic models are described and the techniques are effective for modeling systems represented as interconnections of subsystems. It is shown that the identification problem reduces to the solution of a set of simultaneous Boolean equations. Multiple solutions to the simultaneous equations indicate redundancies present in the subsystem structure and suggest possible critical experiments which must be performed in order to uniquely identify the system parameters. Various aspects of the methods are illustrated by examples of finite state models with finite level variables including a model for an endocrine system using previously reported data." @default.
- W10887080 created "2016-06-24" @default.
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- W10887080 date "1968-01-01" @default.
- W10887080 modified "2023-09-23" @default.
- W10887080 title "FINITE STATE MODELS WITH BOOLEAN VARIABLES" @default.
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- W10887080 doi "https://doi.org/10.1016/b978-0-08-003543-7.50017-3" @default.
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