Title :
Structural identifiability: tools and applications
Author :
Glad, T. ; Sokolov, A.
Author_Institution :
Div. of Autom. Control, Linkoping Univ., Sweden
Abstract :
The paper deals with the application of the identifiability criteria to mean-value models of turbocharged IC engines. A way of reducing such models to linear regressions using differential-algebraic tools is presented. The conditions of the global identifiability and the persistent excitation are formulated explicitly for a given set of sensors. It is accompanied with an iterative technique of the sensor set reduction. The software tools required are outlined and their complexity is discussed
Keywords :
differential equations; identification; internal combustion engines; sensors; statistical analysis; differential algebra; global identifiability; iterative technique; linear regressions; mean-value models; persistent excitation; sensor set reduction; sensors; structural identifiability; turbocharged IC engines; Chemical sensors; Control system synthesis; Differential equations; Engines; Integrated circuit modeling; Open loop systems; Power system modeling; Production; Sensor phenomena and characterization; Testing;
Conference_Titel :
Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5250-5
DOI :
10.1109/CDC.1999.831285
