%0 Journal Article
%T Observability of Minimal Cell Models SciDoc Publishers | Open Access | Science Journals | Media Partners
%A Alireza Faghani Ghodrat
%A Motahareh Lotfzarie
%J Computational & Neural Engineering (IJCNE)
%D 2018
%R http://dx.doi.org/10.19070/2572-7389-140001
%X Abstract Identifying and modeling of biological systems is very useful to understand cell's dynamic. To know what really happens inside the cell we need to observe the state of a cell. In fact observability is a structural property of a control system defined as the possibility to deduce the state of the system from observing its input-output behavior. Any complex cell model is a combination of some minimal models which are simpler than complex cell model because they have two dimensions. These models can describe the behavior of the cell. The property of observability for nonlinear systems is very useful in analyzing such systems. This paper deals with the observability of minimal cell models. Based on the fact that the minimal cell models are nonlinear, analyzing the property of these models need nonlinear methods. The method has been used for observability is Lie Derivative. The results indicate observability of minimal cell models
%K n/a
%U https://scidoc.org/IJCNE-2572-7389-01-101.php