ON STRUCTURAL IDENTIFIABILITY OF SYSTEM PARAMETERS OF LINEAR MODELS

摘要

Investigation of structural identifiability of even linear dynamical models requires complicated algebraic manipulations with use of computer algebra methods. In present work very efficient approach to testing both local and global identifiability of system parameters is offered which does not require too complex algebraic computations and therefore allows to increase the dimension of testable models. In addition to consideration of general case two widely used classes of model structures are studied. Illustrative example is given to show advantages of the approach.