초록 ▼

A method for generating a computer model for use in system component design as well as overall system evaluation is disclosed. The method includes the steps of generating an equation model of the system component, modifying the equation model by integrating according to the trapezoidal rule, wherein

A method for generating a computer model for use in system component design as well as overall system evaluation is disclosed. The method includes the steps of generating an equation model of the system component, modifying the equation model by integrating according to the trapezoidal rule, wherein an integrated model is formed having a plurality of parameter values. Certain of such parameter values define historical parameter values accounting for historical parameter information. the parameter values are arranged in matrix form and reordered. The reorder matrix equation is reduced by eliminating certain of the parameter values, thereby forming a reduced model. When the reduced model is incorporated is a system model it is necessary to modify the system model to account to the component model current parameter information. Such information is used by the component model to update the historical information.

대표청구항 ▼

A system for generating a reduced, computer-readable matrix model of a component of a system for use in analyzing said component, said component being initially represented by an equation model, comprising: a computer; and a computer-readable storage medium operatively coupled to said computer and c

A system for generating a reduced, computer-readable matrix model of a component of a system for use in analyzing said component, said component being initially represented by an equation model, comprising: a computer; and a computer-readable storage medium operatively coupled to said computer and containing: (1) a first matrix model of said component, wherein said matrix model contains parameter values and is representative of said equation model; (2) first code means for linearizing a portion of said first matrix model, thereby forming a second matrix model; (3) second code means for reordering and reducing said second matrix model by eliminating certain of said parameter values, whereby said reduced model is formed; and wherein both the first matrix model and the reduced model provide predictions of the performance of said component, and the accuracy of said reduced model is substantially identical to that of said first matrix model.